Computers are becoming ubiquitous and are playing significant roles in our lives. Domestic digital devices for leisure and entertainment are becoming increasingly important. To be usable, every computing device must allow for some form of interaction with its user. The human computer interaction is the point of communication between the human user and the computer. AI has been gradually being incorporated into human computer interaction HCI . As AI systems become more and more ubiquitous, it is imperative to understand those systems from a human perspective. This paper provides an introduction to the “marriage†between HCI and AI. Matthew N. O. Sadiku | Uwakwe C. Chukwu | Abayomi Ajayi-Majebi | Sarhan M. Musa "Artificial Intelligence and Human-Computer Interaction" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47491.pdf Paper URL : https://www.ijtsrd.com/engineering/computer-engineering/47491/artificial-intelligence-and-humancomputer-interaction/matthew-n-o-sadiku
This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from early programs in the 1950s to current applications in areas like expert systems, natural language processing, computer vision, robotics, and automatic programming. It also notes both potential positive futures where intelligent robots assist humans as well as potential negative outcomes if robots are used for anti-social purposes. The conclusion is that AI has increased understanding of intelligence while also revealing its complexity.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
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This document provides an introduction to artificial intelligence (AI). It defines AI as a branch of computer science dealing with symbolic and non-algorithmic problem solving. The document discusses the evolution of AI from early programs in the 1950s to current applications in areas like expert systems, natural language processing, computer vision, robotics, and automatic programming. It also notes both potential positive futures where intelligent robots assist humans as well as potential negative outcomes if robots are used for anti-social purposes. The conclusion is that AI has increased understanding of intelligence while also revealing its complexity.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
Top 10 Applications Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/Y46zXHvUB1s
** Machine Learning Masters Program: https://www.edureka.co/masters-progra... **
This Edureka session on Applications Of Artificial Intelligence will help you understand how AI is impacting various domains such as banking, marketing, healthcare and so on.
Following are the topics covered in this PPT:
AI In Artificial Creativity
AI In Social Media
AI In Chatbots
AI In Autonomous Vehicles
AI In Space Exploration
AI In Gaming
AI In Banking & Finance
AI In Agriculture
AI In Healthcare
AI In Marketing
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
What Is Artificial Intelligence? | Artificial Intelligence For Beginners | Wh...Simplilearn
This Artificial Intelligence presentation will introduce you to the AI world and give you a short glimpse about AI history. By the end of this video, you will learn what is Artificial intelligence, types of Artificial Intelligence, applications of Artificial Intelligence and future of Artificial Intelligence.
The topics covered in this presentation are as follows:
1. Brief History of Artificial Intelligence
2. What is Artificial intelligence
3. Types of Artificial Intelligence
4. Applications of Artificial Intelligence
5. Future of Artificial Intelligence
-----------------------------------------------------------------------------------------
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
Master the concepts of supervised and unsupervised learning
Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
-----------------------------------------------------------------------------------------
Artificial intelligence is the science and engineering of creating intelligent computer systems that can perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and decision making. The scope of AI is broad, with applications in areas like game playing, computer vision, robotics, and more. Careers in AI include jobs as a game programmer, robotic scientist, computer scientist, and software engineer.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
AI for human communication is about recognition, parsing, understanding, and generating natural language. The concept of natural language is evolving. A key focus is the analysis, interpretation, and generation of verbal and written language. Other language focus areas include haptic, sonic, and visual language, data, and interaction.
Artificial intelligence (AI) is making headlines in newsrooms across the world. One of the latest trends we’ve seen is in the education system, and it’s made many people wary of the ramifications that using Artificial Intelligence in the classroom will have.
While AI can never replace human teachers, it can play a great role in the classroom. Read on to learn more.
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers in AI research from the 18th century onward and key milestones like the Dartmouth Conference in 1956 which established AI as an academic field. The document also outlines different types of AI, like weak AI and strong AI, as well as many applications and fields that utilize AI today like robotics, healthcare, manufacturing, and more. It concludes by discussing the increasing use of robots in various industries and envisions the future potential of AI.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...ijtsrd
Cognitive computing, a revolutionary paradigm in computing, seeks to replicate and enhance human like intelligence by amalgamating artificial intelligence, machine learning, and natural language processing. This paper provides an overview of cognitive computing, emphasizing its core principles and applications across diverse industries. Key components, including adaptability, learning, and problem solving capabilities, distinguish cognitive computing from traditional computing models. The integration of natural language processing enables more intuitive human machine interactions, contributing to applications such as virtual assistants and personalized services. The paper explores the ethical considerations inherent in cognitive computing, highlighting the importance of transparency and responsible use. With continuous evolution and ongoing research, cognitive computing is on the verge to shape the future of computing, offering new opportunities and challenges in various domains. This abstract encapsulates the transformative nature of cognitive computing and its potential impact on the technological landscape. Manish Verma "Beyond AI: The Rise of Cognitive Computing as Future of Computing: ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61292.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61292/beyond-ai-the-rise-of-cognitive-computing-as-future-of-computing-chatgpt-analysis/manish-verma
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines different methods of AI such as symbolic AI, neural networks, and computational intelligence. It also discusses a wide range of applications of AI such as finance, medicine, gaming, robotics, and more. Finally, it discusses some achievements of AI and envisions continued growth and importance of AI in the future.
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
Artificial Intelligence | Introduction to AI | What is ai?SumitKumarShukla2
The document provides an overview of artificial intelligence (AI), including definitions, applications, importance, job roles, and companies hiring in the AI field. It defines AI as enabling machines to mimic human behavior and perform tasks like visual perception, speech recognition, and decision-making. Some applications discussed include machine translation, facial recognition, chatbots, self-driving cars, and virtual assistants. The document also outlines the importance of AI and several common job profiles in AI like machine learning engineers, data scientists, and research scientists, as well as some of the top companies hiring for AI roles.
What Is Artificial Intelligence? | Artificial Intelligence For Beginners | Wh...Simplilearn
This Artificial Intelligence presentation will introduce you to the AI world and give you a short glimpse about AI history. By the end of this video, you will learn what is Artificial intelligence, types of Artificial Intelligence, applications of Artificial Intelligence and future of Artificial Intelligence.
The topics covered in this presentation are as follows:
1. Brief History of Artificial Intelligence
2. What is Artificial intelligence
3. Types of Artificial Intelligence
4. Applications of Artificial Intelligence
5. Future of Artificial Intelligence
-----------------------------------------------------------------------------------------
Simplilearn’s Artificial Intelligence course provides training in the skills required for a career in AI. You will master TensorFlow, Machine Learning and other AI concepts, plus the programming languages needed to design intelligent agents, deep learning algorithms & advanced artificial neural networks that use predictive analytics to solve real-time decision-making problems without explicit programming.
Why learn Artificial Intelligence?
The current and future demand for AI engineers is staggering. The New York Times reports a candidate shortage for certified AI Engineers, with fewer than 10,000 qualified people in the world to fill these jobs, which according to Paysa earn an average salary of $172,000 per year in the U.S. (or Rs.17 lakhs to Rs. 25 lakhs in India) for engineers with the required skills.
You can gain in-depth knowledge of Artificial Intelligence by taking our Artificial Intelligence certification training course. Those who complete the course will be able to:
Master the concepts of supervised and unsupervised learning
Gain practical mastery over principles, algorithms, and applications of machine learning through a hands-on approach which includes working on 28 projects and one capstone project.
Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
Understand the concepts and operation of support vector machines, kernel SVM, naive bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
Comprehend the theoretical concepts and how they relate to the practical aspects of machine learning.
Be able to model a wide variety of robust machine learning algorithms including deep learning, clustering, and recommendation systems
-----------------------------------------------------------------------------------------
Artificial intelligence is the science and engineering of creating intelligent computer systems that can perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and decision making. The scope of AI is broad, with applications in areas like game playing, computer vision, robotics, and more. Careers in AI include jobs as a game programmer, robotic scientist, computer scientist, and software engineer.
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
This document outlines a project to design and develop a Sugar CRM bot using Artificial Intelligence Markup Language (AIML). The objective is to create a bot that can answer questions about Sugar CRM. It will be implemented as both a desktop and web application using programming languages like AIML, Python, and Adobe Flex. An automatic AIML generation tool will also be developed to ease the creation of AIML files. The source code for the project is available online for checkout and demonstration.
AI for human communication is about recognition, parsing, understanding, and generating natural language. The concept of natural language is evolving. A key focus is the analysis, interpretation, and generation of verbal and written language. Other language focus areas include haptic, sonic, and visual language, data, and interaction.
Artificial intelligence (AI) is making headlines in newsrooms across the world. One of the latest trends we’ve seen is in the education system, and it’s made many people wary of the ramifications that using Artificial Intelligence in the classroom will have.
While AI can never replace human teachers, it can play a great role in the classroom. Read on to learn more.
This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers in AI research from the 18th century onward and key milestones like the Dartmouth Conference in 1956 which established AI as an academic field. The document also outlines different types of AI, like weak AI and strong AI, as well as many applications and fields that utilize AI today like robotics, healthcare, manufacturing, and more. It concludes by discussing the increasing use of robots in various industries and envisions the future potential of AI.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
Beyond AI The Rise of Cognitive Computing as Future of Computing ChatGPT Anal...ijtsrd
Cognitive computing, a revolutionary paradigm in computing, seeks to replicate and enhance human like intelligence by amalgamating artificial intelligence, machine learning, and natural language processing. This paper provides an overview of cognitive computing, emphasizing its core principles and applications across diverse industries. Key components, including adaptability, learning, and problem solving capabilities, distinguish cognitive computing from traditional computing models. The integration of natural language processing enables more intuitive human machine interactions, contributing to applications such as virtual assistants and personalized services. The paper explores the ethical considerations inherent in cognitive computing, highlighting the importance of transparency and responsible use. With continuous evolution and ongoing research, cognitive computing is on the verge to shape the future of computing, offering new opportunities and challenges in various domains. This abstract encapsulates the transformative nature of cognitive computing and its potential impact on the technological landscape. Manish Verma "Beyond AI: The Rise of Cognitive Computing as Future of Computing: ChatGPT Analysis" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-7 | Issue-6 , December 2023, URL: https://www.ijtsrd.com/papers/ijtsrd61292.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/61292/beyond-ai-the-rise-of-cognitive-computing-as-future-of-computing-chatgpt-analysis/manish-verma
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines different methods of AI such as symbolic AI, neural networks, and computational intelligence. It also discusses a wide range of applications of AI such as finance, medicine, gaming, robotics, and more. Finally, it discusses some achievements of AI and envisions continued growth and importance of AI in the future.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines two categories of AI methods - symbolic AI and computational intelligence - and discusses applications of AI in domains like finance, medicine, gaming, and robotics. It also notes some achievements of AI and predicts that AI will continue growing exponentially and potentially change the world.
Running head ARTIFICIAL INTELLIGENCE1ARTIFICIAL INTELLIGENCE.docxtoddr4
Running head: ARTIFICIAL INTELLIGENCE 1
ARTIFICIAL INTELLIGENCE 5
Advantages of Artificial Intelligences, Uploads, and Digital Minds
First Article
The first article states that the term artificial intelligence currently impact our lives and civilization. The extents of an artificial intelligence application are different with extensive probabilities. In specific, as of improvement and developments in computer hardware, isolated artificial intelligence algorithm already exceed the abilities of human specialists today. The empire of probable uses of artificial intelligence techniques is vast. Also, this is one of the causes why several corporations have been deeply investing in AI in current years. Google Corporation is constructing self-driving automobiles and cars also has developed ten robotics corporations, Facebook had released a new investigation facility concentrated on AL intelligence.
On the other hand, “Apple has industrialized Siri, Microsoft has constructed Cortana, and Google has developed Deep Mind.” A UK company who long-term objective is to construct a usual AI also has previously displayed wide possibility in engaging at the game of “Go the current world champion.” IBM is investing a wide amount of assets during applying its “Watson reasoning computing system” to the health domain, to economics, also to adapted education. This growth of AI-based services and systems are getting all bends of the globe. As per the article, AI is not regarding computing authority. Intelligent machines and system can also relay on wide amounts of information, to be used to investigate how to make fine decisions.
This information and data originate from all of the people. Over many years, Facebook workers have uploaded 250 billion images. Also they upload around 350 million regularly. The point that a recent AI artificial intelligence can make more precise medical detects than doctors might seem astonishing initially, but it has been accepted that arithmetical implications are greater to medical judgments through human specialists in many situations. Progress and development in AI investigation make it probable to substitute rising amounts of human occupations with many advanced machines (Sotala, 2012).
Artificial and Intelligences and its Role in Near Future.
Second Article
The second article describes that AI knowledge has long past which is constantly and actively growing and modifying. If emphasis on many intelligent agents, that consists devices that observe background also reliant on which take many actions to enhance the chances of success. In the context of a current digitalized domain, AI is the assets of computer programs, machines and systems to achieve the creative and intellectual functions of an individual, self-sufficiently recognize several methods to resolve any issue, be capable of defining conclusions also make decisions. Many AI systems can acquire, which enables people to recover their .
Artificial intelligence is already used in many applications like web search, navigation, and computer vision. The document discusses the history of AI beginning in the 17th century with early philosophers exploring symbolic reasoning. A key event was the 1956 Dartmouth conference which helped found the field of AI research. The document outlines several branches of AI including neural networks, fuzzy logic, genetic programming, and ontology. It provides examples of current AI applications in fields like computer science, finance, transportation, telecommunications, and medicine.
This document discusses artificial intelligence and its applications. It begins with an introduction that defines AI and its core principles such as reasoning, knowledge, planning, learning, communication, perception and object manipulation. Recent updates are provided on how companies like Microsoft and Google are using AI in healthcare to tackle diseases. The differences between AI and natural intelligence are explored. Applications of AI discussed include finance, medicine, social media, robotics, heavy industries, and education. The future potential of AI is discussed along with how it may impact the world as biological intelligence is limited compared to the growing capabilities of AI. In conclusion, the goal of AI development is to solve major problems and achieve tasks humans cannot, and it will change the world, so responsible development
A Case Study of Artificial Intelligence is being used to Reshape BusinessAI Publications
AI is one of the emerging technologies with such a long record which is constantly changing and growing in the corporate world. We will explain the modern AI basics and various aspects, applications of AI, and its future in business throughout this paper. Many businesses benefit from AI technology by lowering operational expenses, improving efficiency, and expanding the customer base. AI is made up of a variety of tools that allow computers to process massive amounts of data using smart technologies such as machine learning and natural language processing. Many customers now value AI-powered everyday technologies such as credit card fraud detection, e-mail spam filters, and predictive traffic alerts. The field of artificial intelligence is shifting toward developing intelligent systems that can effectively collaborate with people, including innovative ways to develop interactive and scalable ways for people to teach robots. The Vehicle Integrated Artificial Intelligence System is the focus of this paper.
There are various problems that cannot be solved by conventional, hard techniques. Soft computing has emerged as a way of solving these problems, the way humans do. It is a new approach to computing. It is an effective technique for solving problems of classification, prediction, optimization, pattern recognition, image processing, etc. Soft computing techniques include fuzzy logic, genetic algorithms, evolution strategies, artificial neural network, expert systems, and machine learning. These techniques have been used in human related sciences to solve practical problems related to humans their activities, health, and social needs. This paper provides an introduction to various applications of soft computing techniques in the human sciences. Matthew N. O. Sadiku | Uwakwe C. Chukwu | Abayomi Ajayi-Majebi | Sarhan M. Musa "Soft Computing in Human Sciences" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-2 , February 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49305.pdf Paper URL: https://www.ijtsrd.com/humanities-and-the-arts/social-science/49305/soft-computing-in-human-sciences/matthew-n-o-sadiku
Artificial Intelligence (AI) has revolutionized in information technology.AI is a subfield of computer science that includes the creation of intelligent machines and software that work and react like human beings. AI and its Applications gets used in various fields of life of humans as expert system solve the complex problems in various areas as science, engineering, business, medicine, video games and Advertising. But “Do any traffic lights use Artificial Intelligence??”, I thought a lot of this when waiting in a red light. This paper gives an overview of Artificial Intelligence and its applications used in human life. This will explore the current use of Artificial Intelligence technologies in Network Intrusion for protecting computer and communication networks from intruders, in the medical area-medicine, to improve hospital inpatient care, for medical image classification, in the accounting databases to mitigate the problems of it, in the computer games, and in Advertising. Also, it will show artificial intelligence principle and how they were applying in traffic signal control, how they solve some traffic problem in actual. This paper gives an introduction to a self-learning system based on RBF neural network and how the system can simulate the traffic police’s experience. This paper is focusing on how to evaluate the effect of the control with the changing of the traffic and adjust the signal with the different techniques of Artificial Intelligence.
Can we morally justify the replacement of humans by artificial intelligence i...Kai Bennink
1) The document discusses whether artificial intelligence can morally replace humans in cancer treatment by analyzing the case of IBM Watson Oncology.
2) IBM Watson Oncology uses AI and machine learning to analyze patient data and provide treatment options to help doctors, achieving similar or better diagnosis rates than doctors.
3) However, some argue that AI systems like Watson are "black boxes" that we don't fully understand, and they could fail or make decisions in unexpected ways, so strict principles are needed to ensure AI aligns with human values and responsibilities.
The document discusses Deloitte Consulting LLP's Enterprise Science offering which employs techniques such as machine learning, data science and advanced algorithms to create solutions for clients. It provides three types of cognitive services: cognitive automation which uses natural language processing to automate processes; cognitive engagement which applies machine learning to personalize customer interactions; and cognitive insight which uses data science and machine learning to detect patterns and support business performance. The document provides contact information for two individuals, Plamen Petrov and Rajeev Ronanki, for more details on Enterprise Science.
Human Computer Interaction: Trends and ChallengesIRJET Journal
The document provides an overview of human-computer interaction (HCI), including definitions, recent advances, trends and challenges. HCI is the study of how humans interact with computers and how to design interfaces for successful human-computer interaction. It is an interdisciplinary field that incorporates areas like computer science, psychology, anthropology, sociology and ergonomics. The document discusses applications of HCI in education, healthcare and everyday life. Advances in technology have led to new interaction methods like wearables, virtual reality and ubiquitous computing.
This document discusses the future of artificial intelligence. It describes how AI is currently being used in fields like robotics, gaming, and healthcare. The document outlines that in the future, AI may be able to match or surpass human-level intelligence. It also discusses potential risks of advanced AI, such as artificial intelligences that do not have human-like motivations and may pursue goals that do not align with human values. The document concludes that accurately predicting the capabilities and impacts of future AI remains challenging.
This document discusses human rights issues related to artificial intelligence. It begins with definitions of key AI concepts like machine learning, deep learning, and algorithms. It then explains how AI can both help and potentially harm society. The document outlines how various human rights may be impacted by current and future applications of AI, such as privacy and non-discrimination. It concludes with recommendations for stakeholders to address human rights harms through approaches like data protection laws and increased research.
Challenges and Solution for Artificial Intelligence in Cybersecurity of the USAvishal dineshkumar soni
This document discusses challenges and solutions for artificial intelligence in cybersecurity in the USA. It begins with an abstract that introduces AI and its key features. The introduction discusses the difference between machine learning and AI and how both are advancing technology. The literature review covers how the US is a leader in AI development and its applications in manufacturing, healthcare, education and more. It also discusses challenges of securing AI systems. The document proposes that investing in AI for cybersecurity can help detect cyber attacks faster and enhance defenses. It suggests using AI to enhance the trustworthiness of systems through more reliable identity management, detecting errors in software, and access control.
This document discusses intelligent computing relating to cloud computing. It introduces applying artificial intelligence to cloud computing to develop self-managing computer systems. For example, developing software that regulates computer power consumption to reduce energy use. The document also discusses using affective computing and advanced intelligence to improve cloud computing efficiency by allowing applications to anticipate situations and make real-time decisions over the internet. Finally, it proposes that true cloud computing should be based on natural language understanding to allow access via lightweight devices like phones, not just traditional computers.
A Study On Artificial Intelligence Technologies And Its ApplicationsJeff Nelson
This document discusses artificial intelligence (AI) technologies and their applications. It begins by defining AI as the recreation of human intelligence processes by machines. It then describes different types of AI, including weak AI which is designed for specific tasks, and strong AI which exhibits generalized human-level cognition. The document outlines several AI technologies like machine learning, machine vision, and natural language processing. It provides examples of how these technologies are used in applications such as self-driving cars, medical imaging, and digital assistants.
Dangers of Over-Reliance on AI in the MilitaryJoe Hanson
This document summarizes the key viewpoints in a debate over the dangers of exponential reliance on artificial intelligence, specifically in the military context. It discusses how AI is being integrated into military systems through both software like expert systems and hardware like drones. While some argue AI will continue progressing and be able to match or surpass human intelligence, others are more skeptical that a machine could truly emulate human thought. The document also examines the history of military funding and influence on the development of computer and AI technologies during the Cold War era. Experts debate the ethical and legal issues raised by increasingly autonomous weapons systems that rely on artificial intelligence.
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‘Six Sigma Technique’ A Journey Through its Implementationijtsrd
The manufacturing industries all over the world are facing tough challenges for growth, development and sustainability in today’s competitive environment. They have to achieve apex position by adapting with the global competitive environment by delivering goods and services at low cost, prime quality and better price to increase wealth and consumer satisfaction. Cost Management ensures profit, growth and sustainability of the business with implementation of Continuous Improvement Technique like Six Sigma. This leads to optimize Business performance. The method drives for customer satisfaction, low variation, reduction in waste and cycle time resulting into a competitive advantage over other industries which did not implement it. The main objective of this paper ‘Six Sigma Technique A Journey Through Its Implementation’ is to conceptualize the effectiveness of Six Sigma Technique through the journey of its implementation. Aditi Sunilkumar Ghosalkar "‘Six Sigma Technique’: A Journey Through its Implementation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64546.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64546/‘six-sigma-technique’-a-journey-through-its-implementation/aditi-sunilkumar-ghosalkar
Edge Computing in Space Enhancing Data Processing and Communication for Space...ijtsrd
Edge computing, a paradigm that involves processing data closer to its source, has gained significant attention for its potential to revolutionize data processing and communication in space missions. With the increasing complexity and data volume generated by modern space missions, traditional centralized computing approaches face challenges related to latency, bandwidth, and security. Edge computing in space, involving on board processing and analysis of data, offers promising solutions to these challenges. This paper explores the concept of edge computing in space, its benefits, applications, and future prospects in enhancing space missions. Manish Verma "Edge Computing in Space: Enhancing Data Processing and Communication for Space Missions" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64541.pdf Paper Url: https://www.ijtsrd.com/computer-science/artificial-intelligence/64541/edge-computing-in-space-enhancing-data-processing-and-communication-for-space-missions/manish-verma
Dynamics of Communal Politics in 21st Century India Challenges and Prospectsijtsrd
Communal politics in India has evolved through centuries, weaving a complex tapestry shaped by historical legacies, colonial influences, and contemporary socio political transformations. This research comprehensively examines the dynamics of communal politics in 21st century India, emphasizing its historical roots, socio political dynamics, economic implications, challenges, and prospects for mitigation. The historical perspective unravels the intricate interplay of religious identities and power dynamics from ancient civilizations to the impact of colonial rule, providing insights into the evolution of communalism. The socio political dynamics section delves into the contemporary manifestations, exploring the roles of identity politics, socio economic disparities, and globalization. The economic implications section highlights how communal politics intersects with economic issues, perpetuating disparities and influencing resource allocation. Challenges posed by communal politics are scrutinized, revealing multifaceted issues ranging from social fragmentation to threats against democratic values. The prospects for mitigation present a multifaceted approach, incorporating policy interventions, community engagement, and educational initiatives. The paper conducts a comparative analysis with international examples, identifying common patterns such as identity politics and economic disparities. It also examines unique challenges, emphasizing Indias diverse religious landscape, historical legacy, and secular framework. Lessons for effective strategies are drawn from international experiences, offering insights into inclusive policies, interfaith dialogue, media regulation, and global cooperation. By scrutinizing historical epochs, contemporary dynamics, economic implications, and international comparisons, this research provides a comprehensive understanding of communal politics in India. The proposed strategies for mitigation underscore the importance of a holistic approach to foster social harmony, inclusivity, and democratic values. Rose Hossain "Dynamics of Communal Politics in 21st Century India: Challenges and Prospects" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64528.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/history/64528/dynamics-of-communal-politics-in-21st-century-india-challenges-and-prospects/rose-hossain
Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in...ijtsrd
Background and Objective Telehealth has become a well known tool for the delivery of health care in Saudi Arabia, and the perspective and knowledge of healthcare providers are influential in the implementation, adoption and advancement of the method. This systematic review was conducted to examine the current literature base regarding telehealth and the related healthcare professional perspective and knowledge in the Kingdom of Saudi Arabia. Materials and Methods This systematic review was conducted by searching 7 databases including, MEDLINE, CINHAL, Web of Science, Scopus, PubMed, PsycINFO, and ProQuest Central. Studies on healthcare practitioners telehealth knowledge and perspectives published in English in Saudi Arabia from 2000 to 2023 were included. Boland directed this comprehensive review. The researchers examined each connected study using the AXIS tool, which evaluates cross sectional systematic reviews. Narrative synthesis was used to summarise and convey the data. Results Out of 1840 search results, 10 studies were included. Positive outlook and limited knowledge among providers were seen across trials. Healthcare professionals like telehealth for its ability to improve quality, access, and delivery, save time and money, and be successful. Age, gender, occupation, and work experience also affect health workers knowledge. In Saudi Arabia, healthcare professionals face inadequate expert assistance, patient privacy, internet connection concerns, lack of training courses, lack of telehealth understanding, and high costs while performing telemedicine. Conclusions Healthcare practitioners telehealth perceptions and knowledge were examined in this systematic study. Its collection of concerned experts different personal attitudes and expertise would help enhance telehealths implementation in Saudi Arabia, develop its healthcare delivery alternative, and eliminate frequent problems. Badriah Mousa I Mulayhi | Dr. Jomin George | Judy Jenkins "Assess Perspective and Knowledge of Healthcare Providers Towards Elehealth in Saudi Arabia: A Systematic Review" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64535.pdf Paper Url: https://www.ijtsrd.com/medicine/other/64535/assess-perspective-and-knowledge-of-healthcare-providers-towards-elehealth-in-saudi-arabia-a-systematic-review/badriah-mousa-i-mulayhi
The Impact of Digital Media on the Decentralization of Power and the Erosion ...ijtsrd
The impact of digital media on the distribution of power and the weakening of traditional gatekeepers has gained considerable attention in recent years. The adoption of digital technologies and the internet has resulted in declining influence and power for traditional gatekeepers such as publishing houses and news organizations. Simultaneously, digital media has facilitated the emergence of new voices and players in the media industry. Digital medias impact on power decentralization and gatekeeper erosion is visible in several ways. One significant aspect is the democratization of information, which enables anyone with an internet connection to publish and share content globally, leading to citizen journalism and bypassing traditional gatekeepers. Another aspect is the disruption of conventional media industry business models, as traditional organizations struggle to adjust to the decrease in advertising revenue and the rise of digital platforms. Alternative business models, such as subscription models and crowdfunding, have become more prevalent, leading to the emergence of new players. Overall, the impact of digital media on the distribution of power and the weakening of traditional gatekeepers has brought about significant changes in the media landscape and the way information is shared. Further research is required to fully comprehend the implications of these changes and their impact on society. Dr. Kusum Lata "The Impact of Digital Media on the Decentralization of Power and the Erosion of Traditional Gatekeepers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64544.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64544/the-impact-of-digital-media-on-the-decentralization-of-power-and-the-erosion-of-traditional-gatekeepers/dr-kusum-lata
Online Voices, Offline Impact Ambedkars Ideals and Socio Political Inclusion ...ijtsrd
This research investigates the nexus between online discussions on Dr. B.R. Ambedkars ideals and their impact on social inclusion among college students in Gurugram, Haryana. Surveying 240 students from 12 government colleges, findings indicate that 65 actively engage in online discussions, with 80 demonstrating moderate to high awareness of Ambedkars ideals. Statistically significant correlations reveal that higher online engagement correlates with increased awareness p 0.05 and perceived social inclusion. Variations across colleges and a notable effect of college type on perceived social inclusion highlight the influence of contextual factors. Furthermore, the intersectional analysis underscores nuanced differences based on gender, caste, and socio economic status. Dr. Kusum Lata "Online Voices, Offline Impact: Ambedkar's Ideals and Socio-Political Inclusion - A Study of Gurugram District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64543.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/political-science/64543/online-voices-offline-impact-ambedkars-ideals-and-sociopolitical-inclusion--a-study-of-gurugram-district/dr-kusum-lata
Problems and Challenges of Agro Entreprenurship A Studyijtsrd
Noting calls for contextualizing Agro entrepreneurs problems and challenges of the agro entrepreneurs and for greater attention to the Role of entrepreneurs in agro entrepreneurship research, we conduct a systematic literature review of extent research in agriculture entrepreneurship to overcome the study objectives of complications of agro entrepreneurs through various factors, Development of agriculture products is a key factor for the overall economic growth of agro entrepreneurs Agro Entrepreneurs produces firsthand large scale employment, utilizes the labor and natural resources, This research outlines the problems of Weather and Soil Erosions, Market price fluctuation, stimulates labor cost problems, reduces concentration of Price volatility, Dependency on Intermediaries, induces Limited Bargaining Power, and Storage and Transportation Costs. This paper mainly devoted to highlight Problems and challenges faced for the sustainable of Agro Entrepreneurs in India. Vinay Prasad B "Problems and Challenges of Agro Entreprenurship - A Study" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64540.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64540/problems-and-challenges-of-agro-entreprenurship--a-study/vinay-prasad-b
Comparative Analysis of Total Corporate Disclosure of Selected IT Companies o...ijtsrd
Disclosure is a process through which a business enterprise communicates with external parties. A corporate disclosure is communication of financial and non financial information of the activities of a business enterprise to the interested entities. Corporate disclosure is done through publishing annual reports. So corporate disclosure through annual reports plays a vital role in the life of all the companies and provides valuable information to investors. The basic objectives of corporate disclosure is to give a true and fair view of companies to the parties related either directly or indirectly like owner, government, creditors, shareholders etc. in the companies act, provisions have been made about mandatory and voluntary disclosure. The IT sector in India is rapidly growing, the trend to invest in the IT sector is rising and employment opportunities in IT sectors are also increasing. Therefore the IT sector is expected to have fair, full and adequate disclosure of all information. Unfair and incomplete disclosure may adversely affect the entire economy. A research study on disclosure practices of IT companies could play an important role in this regard. Hence, the present research study has been done to study and review comparative analysis of total corporate disclosure of selected IT companies of India and to put forward overall findings and suggestions with a view to increase disclosure score of these companies. The researcher hopes that the present research study will be helpful to all selected Companies for improving level of corporate disclosure through annual reports as well as the government, creditors, investors, all business organizations and upcoming researcher for comparative analyses of level of corporate disclosure with special reference to selected IT companies. Dr. Vaibhavi D. Thaker "Comparative Analysis of Total Corporate Disclosure of Selected IT Companies of India" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64539.pdf Paper Url: https://www.ijtsrd.com/other-scientific-research-area/other/64539/comparative-analysis-of-total-corporate-disclosure-of-selected-it-companies-of-india/dr-vaibhavi-d-thaker
The Impact of Educational Background and Professional Training on Human Right...ijtsrd
This study investigated the impact of educational background and professional training on human rights awareness among secondary school teachers in the Marathwada region of Maharashtra, India. The key findings reveal that higher levels of education, particularly a master’s degree, and fields of study related to education, humanities, or social sciences are associated with greater human rights awareness among teachers. Additionally, both pre service teacher training and in service professional development programs focused on human rights education significantly enhance teacher’s knowledge, skills, and competencies in promoting human rights principles in their classrooms. Baig Ameer Bee Mirza Abdul Aziz | Dr. Syed Azaz Ali Amjad Ali "The Impact of Educational Background and Professional Training on Human Rights Awareness among Secondary School Teachers" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64529.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64529/the-impact-of-educational-background-and-professional-training-on-human-rights-awareness-among-secondary-school-teachers/baig-ameer-bee-mirza-abdul-aziz
A Study on the Effective Teaching Learning Process in English Curriculum at t...ijtsrd
“One Language sets you in a corridor for life. Two languages open every door along the way” Frank Smith English as a foreign language or as a second language has been ruling in India since the period of Lord Macaulay. But the question is how much we teach or learn English properly in our culture. Is there any scope to use English as a language rather than a subject How much we learn or teach English without any interference of mother language specially in the classroom teaching learning scenario in West Bengal By considering all these issues the researcher has attempted in this article to focus on the effective teaching learning process comparing to other traditional strategies in the field of English curriculum at the secondary level to investigate whether they fulfill the present teaching learning requirements or not by examining the validity of the present curriculum of English. The purpose of this study is to focus on the effectiveness of the systematic, scientific, sequential and logical transaction of the course between the teachers and the learners in the perspective of the 5Es programme that is engage, explore, explain, extend and evaluate. Sanchali Mondal | Santinath Sarkar "A Study on the Effective Teaching Learning Process in English Curriculum at the Secondary Level of West Bengal" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd62412.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/62412/a-study-on-the-effective-teaching-learning-process-in-english-curriculum-at-the-secondary-level-of-west-bengal/sanchali-mondal
The Role of Mentoring and Its Influence on the Effectiveness of the Teaching ...ijtsrd
This paper reports on a study which was conducted to investigate the role of mentoring and its influence on the effectiveness of the teaching of Physics in secondary schools in the South West Region of Cameroon. The study adopted the convergent parallel mixed methods design, focusing on respondents in secondary schools in the South West Region of Cameroon. Both quantitative and qualitative data were collected, analysed separately, and the results were compared to see if the findings confirm or disconfirm each other. The quantitative analysis found that majority of the respondents 72 of Physics teachers affirmed that they had more experienced colleagues as mentors to help build their confidence, improve their teaching, and help them improve their effectiveness and efficiency in guiding learners’ achievements. Only 28 of the respondents disagreed with these statements. With majority respondents 72 agreeing with the statements, it implies that in most secondary schools, experienced Physics teachers act as mentors to build teachers’ confidence in teaching and improving students’ learning. The interview qualitative data analysis summarized how secondary school Principals use meetings with mentors and mentees to promote mentorship in the school milieu. This has helped strengthen teachers’ classroom practices in secondary schools in the South West Region of Cameroon. With the results confirming each other, the study recommends that mentoring should focus on helping teachers employ social interactions and instructional practices feedback and clarity in teaching that have direct measurable impact on students’ learning achievements. Andrew Ngeim Sumba | Frederick Ebot Ashu | Peter Agborbechem Tambi "The Role of Mentoring and Its Influence on the Effectiveness of the Teaching of Physics in Secondary Schools in the South West Region of Cameroon" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64524.pdf Paper Url: https://www.ijtsrd.com/management/management-development/64524/the-role-of-mentoring-and-its-influence-on-the-effectiveness-of-the-teaching-of-physics-in-secondary-schools-in-the-south-west-region-of-cameroon/andrew-ngeim-sumba
Design Simulation and Hardware Construction of an Arduino Microcontroller Bas...ijtsrd
This study primarily focuses on the design of a high side buck converter using an Arduino microcontroller. The converter is specifically intended for use in DC DC applications, particularly in standalone solar PV systems where the PV output voltage exceeds the load or battery voltage. To evaluate the performance of the converter, simulation experiments are conducted using Proteus Software. These simulations provide insights into the input and output voltages, currents, powers, and efficiency under different state of charge SoC conditions of a 12V,70Ah rechargeable lead acid battery. Additionally, the hardware design of the converter is implemented, and practical data is collected through operation, monitoring, and recording. By comparing the simulation results with the practical results, the efficiency and performance of the designed converter are assessed. The findings indicate that while the buck converter is suitable for practical use in standalone PV systems, its efficiency is compromised due to a lower output current. Chan Myae Aung | Dr. Ei Mon "Design Simulation and Hardware Construction of an Arduino-Microcontroller Based DC-DC High-Side Buck Converter for Standalone PV System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64518.pdf Paper Url: https://www.ijtsrd.com/engineering/mechanical-engineering/64518/design-simulation-and-hardware-construction-of-an-arduinomicrocontroller-based-dcdc-highside-buck-converter-for-standalone-pv-system/chan-myae-aung
Sustainable Energy by Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadikuijtsrd
Energy becomes sustainable if it meets the needs of the present without compromising the ability of future generations to meet their own needs. Some of the definitions of sustainable energy include the considerations of environmental aspects such as greenhouse gas emissions, social, and economic aspects such as energy poverty. Generally far more sustainable than fossil fuel are renewable energy sources such as wind, hydroelectric power, solar, and geothermal energy sources. Worthy of note is that some renewable energy projects, like the clearing of forests to produce biofuels, can cause severe environmental damage. The sustainability of nuclear power which is a low carbon source is highly debated because of concerns about radioactive waste, nuclear proliferation, and accidents. The switching from coal to natural gas has environmental benefits, including a lower climate impact, but could lead to delay in switching to more sustainable options. “Carbon capture and storage” can be built into power plants to remove the carbon dioxide CO2 emissions, but this technology is expensive and has rarely been implemented. Leading non renewable energy sources around the world is fossil fuels, coal, petroleum, and natural gas. Nuclear energy is usually considered another non renewable energy source, although nuclear energy itself is a renewable energy source, but the material used in nuclear power plants is not. The paper addresses the issue of sustainable energy, its attendant benefits to the future generation, and humanity in general. Paul A. Adekunte | Matthew N. O. Sadiku | Janet O. Sadiku "Sustainable Energy" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64534.pdf Paper Url: https://www.ijtsrd.com/engineering/electrical-engineering/64534/sustainable-energy/paul-a-adekunte
Concepts for Sudan Survey Act Implementations Executive Regulations and Stand...ijtsrd
This paper aims to outline the executive regulations, survey standards, and specifications required for the implementation of the Sudan Survey Act, and for regulating and organizing all surveying work activities in Sudan. The act has been discussed for more than 5 years. The Land Survey Act was initiated by the Sudan Survey Authority and all official legislations were headed by the Sudan Ministry of Justice till it was issued in 2022. The paper presents conceptual guidelines to be used for the Survey Act implementation and to regulate the survey work practice, standardizing the field surveys, processing, quality control, procedures, and the processes related to survey work carried out by the stakeholders and relevant authorities in Sudan. The conceptual guidelines are meant to improve the quality and harmonization of geospatial data and to aid decision making processes as well as geospatial information systems. The established comprehensive executive regulations will govern and regulate the implementation of the Sudan Survey Geomatics Act in all surveying and mapping practices undertaken by the Sudan Survey Authority SSA and state local survey departments for public or private sector organizations. The targeted standards and specifications include the reference frame, projection, coordinate systems, and the guidelines and specifications that must be followed in the field of survey work, processes, and mapping products. In the last few decades, there has been a growing awareness of the importance of geomatics activities and measurements on the Earths surface in space and time, together with observing and mapping the changes. In such cases, data must be captured promptly, standardized, and obtained with more accuracy and specified in much detail. The paper will also highlight the current situation in Sudan, the degree to which survey standards are used, the problems encountered, and the errors that arise from not using the standards and survey specifications. Kamal A. A. Sami "Concepts for Sudan Survey Act Implementations - Executive Regulations and Standards" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63484.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63484/concepts-for-sudan-survey-act-implementations--executive-regulations-and-standards/kamal-a-a-sami
Towards the Implementation of the Sudan Interpolated Geoid Model Khartoum Sta...ijtsrd
The discussions between ellipsoid and geoid have invoked many researchers during the recent decades, especially during the GNSS technology era, which had witnessed a great deal of development but still geoid undulation requires more investigations. To figure out a solution for Sudans local geoid, this research has tried to intake the possibility of determining the geoid model by following two approaches, gravimetric and geometrical geoid model determination, by making use of GNSS leveling benchmarks at Khartoum state. The Benchmarks are well distributed in the study area, in which, the horizontal coordinates and the height above the ellipsoid have been observed by GNSS while orthometric heights were carried out using precise leveling. The Global Geopotential Model GGM represented in EGM2008 has been exploited to figure out the geoid undulation at the benchmarks in the study area. This is followed by a fitting process, that has been done to suit the geoid undulation data which has been computed using GNSS leveling data and geoid undulation inspired by the EGM2008. Two geoid surfaces were created after the fitting process to ensure that they are identical and both of them could be counted for getting the same geoid undulation with an acceptable accuracy. In this respect, statistical operation played an important role in ensuring the consistency and integrity of the model by applying cross validation techniques splitting the data into training and testing datasets for building the geoid model and testing its eligibility. The geometrical solution for geoid undulation computation has been utilized by applying straightforward equations that facilitate the calculation of the geoid undulation directly through applying statistical techniques for the GNSS leveling data of the study area to get the common equation parameters values that could be utilized to calculate geoid undulation of any position in the study area within the claimed accuracy. Both systems were checked and proved eligible to be used within the study area with acceptable accuracy which may contribute to solving the geoid undulation problem in the Khartoum area, and be further generalized to determine the geoid model over the entire country, and this could be considered in the future, for regional and continental geoid model. Ahmed M. A. Mohammed. | Kamal A. A. Sami "Towards the Implementation of the Sudan Interpolated Geoid Model (Khartoum State Case Study)" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63483.pdf Paper Url: https://www.ijtsrd.com/engineering/civil-engineering/63483/towards-the-implementation-of-the-sudan-interpolated-geoid-model-khartoum-state-case-study/ahmed-m-a-mohammed
Activating Geospatial Information for Sudans Sustainable Investment Mapijtsrd
Sudan is witnessing an acceleration in the processes of development and transformation in the performance of government institutions to raise the productivity and investment efficiency of the government sector. The development plans and investment opportunities have focused on achieving national goals in various sectors. This paper aims to illuminate the path to the future and provide geospatial data and information to develop the investment climate and environment for all sized businesses, and to bridge the development gap between the Sudan states. The Sudan Survey Authority SSA is the main advisor to the Sudan Government in conducting surveying, mappings, designing, and developing systems related to geospatial data and information. In recent years, SSA made a strategic partnership with the Ministry of Investment to activate Geospatial Information for Sudans Sustainable Investment and in particular, for the preparation and implementation of the Sudan investment map, based on the directives and objectives of the Ministry of Investment MI in Sudan. This paper comes within the framework of activating the efforts of the Ministry of Investment to develop technical investment services by applying techniques adopted by the Ministry and its strategic partners for advancing investment processes in the country. Kamal A. A. Sami "Activating Geospatial Information for Sudan's Sustainable Investment Map" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63482.pdf Paper Url: https://www.ijtsrd.com/engineering/information-technology/63482/activating-geospatial-information-for-sudans-sustainable-investment-map/kamal-a-a-sami
Educational Unity Embracing Diversity for a Stronger Societyijtsrd
In a rapidly changing global landscape, the importance of education as a unifying force cannot be overstated. This paper explores the crucial role of educational unity in fostering a stronger and more inclusive society through the embrace of diversity. By examining the benefits of diverse learning environments, the paper aims to highlight the positive impact on societal strength. The discussion encompasses various dimensions, from curriculum design to classroom dynamics, and emphasizes the need for educational institutions to become catalysts for unity in diversity. It highlights the need for a paradigm shift in educational policies, curricula, and pedagogical approaches to ensure that they are reflective of the diverse fabric of society. This paper also addresses the challenges associated with implementing inclusive educational practices and offers practical strategies for overcoming barriers. It advocates for collaborative efforts between educational institutions, policymakers, and communities to create a supportive ecosystem that promotes diversity and unity. Mr. Amit Adhikari | Madhumita Teli | Gopal Adhikari "Educational Unity: Embracing Diversity for a Stronger Society" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64525.pdf Paper Url: https://www.ijtsrd.com/humanities-and-the-arts/education/64525/educational-unity-embracing-diversity-for-a-stronger-society/mr-amit-adhikari
Integration of Indian Indigenous Knowledge System in Management Prospects and...ijtsrd
The diversity of indigenous knowledge systems in India is vast and can vary significantly between different communities and regions. Preserving and respecting these knowledge systems is crucial for maintaining cultural heritage, promoting sustainable practices, and fostering cross cultural understanding. In this paper, an overview of the prospects and challenges associated with incorporating Indian indigenous knowledge into management is explored. It is found that IIKS helps in management in many areas like sustainable development, tourism, food security, natural resource management, cultural preservation and innovation, etc. However, IIKS integration with management faces some challenges in the form of a lack of documentation, cultural sensitivity, language barriers legal framework, etc. Savita Lathwal "Integration of Indian Indigenous Knowledge System in Management: Prospects and Challenges" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63500.pdf Paper Url: https://www.ijtsrd.com/management/accounting-and-finance/63500/integration-of-indian-indigenous-knowledge-system-in-management-prospects-and-challenges/savita-lathwal
DeepMask Transforming Face Mask Identification for Better Pandemic Control in...ijtsrd
The COVID 19 pandemic has highlighted the crucial need of preventive measures, with widespread use of face masks being a key method for slowing the viruss spread. This research investigates face mask identification using deep learning as a technological solution to be reducing the risk of coronavirus transmission. The proposed method uses state of the art convolutional neural networks CNNs and transfer learning to automatically recognize persons who are not wearing masks in a variety of circumstances. We discuss how this strategy improves public health and safety by providing an efficient manner of enforcing mask wearing standards. The report also discusses the obstacles, ethical concerns, and prospective applications of face mask detection systems in the ongoing fight against the pandemic. Dilip Kumar Sharma | Aaditya Yadav "DeepMask: Transforming Face Mask Identification for Better Pandemic Control in the COVID-19 Era" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd64522.pdf Paper Url: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/64522/deepmask-transforming-face-mask-identification-for-better-pandemic-control-in-the-covid19-era/dilip-kumar-sharma
Streamlining Data Collection eCRF Design and Machine Learningijtsrd
Efficient and accurate data collection is paramount in clinical trials, and the design of Electronic Case Report Forms eCRFs plays a pivotal role in streamlining this process. This paper explores the integration of machine learning techniques in the design and implementation of eCRFs to enhance data collection efficiency. We delve into the synergies between eCRF design principles and machine learning algorithms, aiming to optimize data quality, reduce errors, and expedite the overall data collection process. The application of machine learning in eCRF design brings forth innovative approaches to data validation, anomaly detection, and real time adaptability. This paper discusses the benefits, challenges, and future prospects of leveraging machine learning in eCRF design for streamlined and advanced data collection in clinical trials. Dhanalakshmi D | Vijaya Lakshmi Kannareddy "Streamlining Data Collection: eCRF Design and Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-8 | Issue-1 , February 2024, URL: https://www.ijtsrd.com/papers/ijtsrd63515.pdf Paper Url: https://www.ijtsrd.com/biological-science/biotechnology/63515/streamlining-data-collection-ecrf-design-and-machine-learning/dhanalakshmi-d
Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Beyond Degrees - Empowering the Workforce in the Context of Skills-First.pptxEduSkills OECD
Iván Bornacelly, Policy Analyst at the OECD Centre for Skills, OECD, presents at the webinar 'Tackling job market gaps with a skills-first approach' on 12 June 2024
हिंदी वर्णमाला पीपीटी, hindi alphabet PPT presentation, hindi varnamala PPT, Hindi Varnamala pdf, हिंदी स्वर, हिंदी व्यंजन, sikhiye hindi varnmala, dr. mulla adam ali, hindi language and literature, hindi alphabet with drawing, hindi alphabet pdf, hindi varnamala for childrens, hindi language, hindi varnamala practice for kids, https://www.drmullaadamali.com
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
Temple of Asclepius in Thrace. Excavation resultsKrassimira Luka
The temple and the sanctuary around were dedicated to Asklepios Zmidrenus. This name has been known since 1875 when an inscription dedicated to him was discovered in Rome. The inscription is dated in 227 AD and was left by soldiers originating from the city of Philippopolis (modern Plovdiv).
Communicating effectively and consistently with students can help them feel at ease during their learning experience and provide the instructor with a communication trail to track the course's progress. This workshop will take you through constructing an engaging course container to facilitate effective communication.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
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[5]. Although some view AI and HCI as having
opposing views of how humans and computers should
interact, we believe in unifying AI and HCI. The
underlying divide is not between AI and HCI, but
between rationalistic and design approach [6]. The
two fields explore the nexus of computing and
intelligent behavior. Although several factors work to
keep the fields of AI and HCI apart, the AI and HCI
communities need to make AI ready for human
interaction. AI and HCI can mutually benefit from a
closer collaboration.
This chapter provides a brief introduction to
application of artificial intelligence on human-
computer interaction. It begins by providing a general
overview on both artificial intelligence and human-
computer interaction. Then, it presents the various
applications of combining the two fields. It discusses
the benefits and challenges of AI and HCI. The last
section concludes with comments.
OVERVIEW ON ARTIFICIAL INTELLIGENCE
The term “artificial intelligence” (AI) was coined in
1956 by John McCarthy during a conference held on
this subject. AI is the branch of computer science that
deals with designing intelligent computer systems that
mimic human intelligence. The ability of machines to
process natural language, to learn, to plan makes it
possible for new tasks to be performed by intelligent
systems. The main purpose of AI is to mimic the
cognitive function of human beings and perform
activities that would typically be performed by a
human being. AI is stand-alone independent
electronic entity that functions much like human
expert. Today, AI is integrated into our daily lives in
several forms, such as personal assistants, automated
mass transportation, aviation, computer gaming,
facial recognition at passport control, voice
recognition on virtual assistants, driverless cars,
companion robots, etc. [7].
An important feature of AI technology is that is can
be added to existing technologies. AI has benefited
many areas such chemistry and medicine, where
routine diagnoses can iitiated by AI-aided computers.
It embraces a wide range of disciplines such as
computer science, engineering, machine learning,
chemistry, biology, physics, astronomy, neuroscience,
and social sciences.
AI is not a single technology but a range of
computational models and algorithms. The major
disciplines in AI include expert systems, fuzzy logic,
and artificial neural networks (ANNs), machine
learning, deep learning, natural language processing,
computer vision, and robotics. The various computer-
based tools or technologies that have been used to
achieve AI’s goals are the following [8,9]:
Expert Systems: An expert system (ES) (or
knowledge-based system) enables computers to
make decisions by interpreting data and selecting
between alternatives just as a human expert would
do. It uses a technique known as rule-based
inference in which rules are used to process data.
Neural Networks: These computer programs
identify objects or recognize patterns after having
been trained. Artificial neural networks (ANNs)
are parallel distributed systems consisting of
processing units (neurons) that calculate some
mathematical functions. The ANN model
represents nonlinear relationships which are
directly learned from the data being modeled.
Neural networks are being explored for healthcare
applications in imaging and diagnoses, risk
analysis, lifestyle management and monitoring,
health information management, and virtual
health assistance.
Natural Language Processors: Computer
programs that translate or interpret language as it
is spoken by normal people. Natural language
processors (NLP) techniques extract information
from unstructured data. NLP targets at extracting
useful information from the narrative text to assist
decision making. NLP includes applications such
as speech recognition, text analysis, translation
and other goals related to language. There are two
basic approaches to NLP: statistical and semantic.
Healthcare is the biggest user of the NLP tools.
NLP has been used in the clinical setting for
capturing, representing, and utilizing clinical
information [10].
Robots: Computer-based programmable
machines that have physical manipulators and
sensors. For example, medical robots can help
with surgical operations, rehabilitation, social
interaction, assisted living, etc. Robotic-guidance
is becoming common in spine surgery [11].
Fuzzy Logic: Reasoning based on imprecise or
incomplete information in terms of a range of
values rather than point estimates. Fuzzy logic
deals with uncertainty in knowledge that
simulates human reasoning in incomplete or fuzzy
data. The fuzzy model is robust to parameter
changes and tolerant to impression.
Machine Learning: Algorithms to make
predictions and interpret data and “learn”, without
static program instructions. ML is a statistical
technique for fitting models to data and training
models with data. Machine learning (ML) extracts
features from input data by constructing analytical
data algorithms and examines the features to
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create predictive models. The most common ML
algorithms are supervised learning, unsupervised
learning, reinforcement learning, and deep
learning. Machine learning is widely used in
human-computer interaction [12].
Deep Learning: A subset of machine learning
built on a deep hierarchy of layers, with each
layer solving different pieces of a complex
problem. It aims at increasing the capacity of
supervised and unsupervised learning algorithms
for solving complex real-world problems by
adding multiple processing layers. An illustration
of deep learning with two hidden layers is in
Figure 2 [13]. Figure 3 shows how AI
encompasses machine learning and deep learning
[14].
Data Mining: This deals with the discovery of
hidden patterns and new knowledge from large
databases. Data mining exhibits a variety of
algorithmic tools such as statistics, regression
models, neural networks, fuzzy sets, and
evolutionary models.
Each AI tool has its own advantages. Using a
combination of these models, rather than a single
model, is recommended. AI technologies are
drastically influencing the retail industry and
customer experience. An emerging area of interest in
AI is to make AI agents cooperate with each other.
FUNDAMENTALS OF HUMAN-COMPUTER
INTERACTION
As shown in Figure 4 [15], human–computer
interaction (HCI) draws on psychology, social and
cultural anthropology, human geography,
ergonomics, artificial intelligence, and potentially any
discipline that deals with human behaviors. While
computer science is the hard science of HCI,
psychology is its soft science [16]. The term “human-
computer interaction” was popularized by Stuart K.
Card, Allen Newell, and Thomas P. Moran in their
1983 book, The Psychology of Human-Computer
Interaction. The main goal of HCI is to produce
usable and safe computer systems. Usability (or
usefulness) is often defined in terms of efficiency,
effectiveness and satisfaction. The success of any
product is determined by the satisfaction of the
humans who use the product. The data that affect
usability of a system include age, experience, and
capabilities.
As its name suggests, human–computer interaction
(HCI) consists of three parts:
The Human: This refers to an individual user or
a group of users. The underlying objective of HCI
is that people using a computer system should
come first. The design of HCI should be user-
centered or user-friendly. This requires careful
analysis of user characteristics and the goals that
users want to achieve. Humans have emotion and
emotion can influence important their behaviors
including technology use and customer loyalty.
While natural language input by the human
appears desirable in human-computer
communication, this assumes that the human can
express his knowledge and that the computer can
interpret the language.
The Computer: This refers to any computing
technology ranging from desktop computers, to
large scale computer systems. Before we used to
deal with stand-alone computers, but today
computers are embedded in several devices.
Devices such as mobile phones or VCRs may also
be regarded as computers. The rapid development
of computers has made effective HCI essential.
The Interaction: Humans interact with
computers in several ways using different
interfaces such as keyboards, mice, tablets, voice,
and hand gestures. For example, desktop
applications use handheld computers graphical
user interfaces (GUI), while speech recognition
systems use voice user interfaces (VUI). In a
world where the user interface has been mostly
visual, focus has been on the GUI. The interaction
may occur at the physical, social, and
psychological context. Many other paradigms for
human-computer interaction exist. Perhaps one of
the best-known paradigms is the World Wide
Web with the browser and HTML
We must understand these parts in order to
understand HCI. Applications of HCI include
information kiosks, computer terminals, interactive
Web sites, computer games, mobile devices, robots,
computer games, NLP, eye-tracker, hand gesture,
fatigue monitoring, improving electronic medical
records (EMR), natural language interfaces, human
speech recognition, and surgery [17].
APPLICATIONS OF AI IN HCI
The AI-related technologies are silently redefining the
way we make our intentions known to computers.
The fields of AI and HCI are mutually influencing as
never before. The synergies of AI and HCI, especially
interactive machine learning, could become very
relevant in several areas such as medical and business
applications. Some common applications of AI in
human-computer interaction include computer vision,
speech recognition, natural language processing [18]:
Natural Language Processing (NLP): This s is
the technology that enables computers to
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understand human speech as it is spoken. NLP is
drastically changing the way we interact with
more complex systems. Natural communication
among humans consists primarily of a
combination of speech, hand gestures, facial
expressions, eye motions, and body language.
Gestures are not equivalent to speech, but they
complement each other. Conversational AI
systems like Alexa are constantly growing
smarter and better at language and conversation,
all made possible through advances in machine
learning. By combining data from speech and
non-verbal signals computers may learn
appropriate patterns of interactions for
cooperation between humans and computers [19].
Multimodal Interaction: This is part of
everyday human discourse. We speak, move, and
gesture in an effective flow of communication. To
improve reliability and usability, researchers are
now designing multimodal interfaces that
automatically learn and adapt to important and
environmental parameters [20]. Artificial
Intelligence (AI) is powering speech-based and
gesture-based systems, helping to fundamentally
change HCI from simple, unimodal channels to
complex, multimodal channels.
Computer Vision: With the progress in deep
learning and neural networks, we have made great
inroads in the field of computer vision. AI and
computer vision have made eye tracking more
efficient and affordable.
Computer Emotion: The recent developments in
human-computer interaction have emphasized
user-centered rather than computer-centered
approach. This led to design of intelligent and
affective interfaces. Important discoveries in
neuroscience and psychology have contributed to
an interest in the scientific study of emotion.
Without the ability to process such affect or
emotion information, computers cannot be
expected to communicate with humans in a
natural way. The ability of machines to recognize,
interpret and respond according to human
emotions is known as adaptive or affective
computing. It is computing that relates to emotion
or other affective phenomena. It involves the
study and development of systems and devices
that can recognize and express human affects or
emotions. It uses both hardware and software
technology to detect the affective state of a person
[21].
Computer Games: Computer games are
becoming popular and the encounter between
games and culture has become inevitable.
Applying HCI skills would enable game
developers to design applications that are tailored
to the player’s cultural background, allowing
developers to transcend cultural barriers [22].
Combining the human-computer interaction and
the artificial intelligence areas can promote
accessibility in games. This will lead them
making them more democratic and useful for
society.
BENEFITS
Human-computer interfaces have benefits both in
terms of performance and in terms of the human's role
in the system. The computer will do whatever it is
commanded to do. It has no ego or emotion and never
feels overworked or underworked [23]. HCI makes a
big difference in terms of efficiency, convenience,
even for life and death. The world is full of badly
designed products and some products look good but
may not work well. The skills developed with HCI
help us to understand why some products are good
and others are bad. There are some disabled people
who cannot control parts of their bodies and real time
human –computer interaction systems can help them
[24].
The AI revolution is coming at a rapid speed,
promising better performance than human
professionals. AI does not need to sleep, rest, food, or
need air to breathe. It can predict human interactions
with computers and identify patterns far quicker than
humans. It is not just replacing jobs (the takeover of
human jobs by automation), it is creating new jobs as
well. We must decide whether to ride on the wave of
AI or resist the inevitable change. The combination of
AI and HCI can improve education and make homes
smarter.
CHALLENGES
AI and HCI have both potential benefits and risks.
The biggest challenge product designers have is
escaping the mindset of their own technical
understanding and gaining a perspective of what it is
like to be a user. HCI is a rapidly evolving discipline.
Other challenges involved in HCI design include
performing real evaluations, tailoring software, and
recognizing design conflicts [25]. Several factors
impede precision in HCI devices due to a lack of
standard for the quality of data obtained by such
devices. Courses offered on HCI must be carefully
put together so that they do not quickly become out of
date.
The potential negative effects of AI on society cannot
be ignored. Merely introducing human guidance into
AI applications is not enough to prevent its
unintended consequences. Human involvement in AI
system design and development is critical to ensure
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that AI-based systems work as intended. Some AI
applications were very expensive and failed due to a
lack of use value. It would be a security threat if AI
could not be fully controlled by humans. Although AI
is advancing rapidly, ethics and security are not [26].
CONCLUSION
Much of the research effort in HCI seeks to improve
human-computer interaction by improving the
usability of human-computer interfaces. It is a young
field with considerable success. Researchers have
begun to be more concerned about the need for a
stronger “marriage” between HCI and AI.
As AI systems become more and more ubiquitous, it
is imperative to understand those systems from a
human perspective. This will help the designers figure
out how to build collaborative relationships between
humans and computers to enhance human creativity.
The future HCI will definitely shape around AI. A
new field of “Human Artificial Intelligence
Interaction” will emerge from this. For this reason,
HCI has gradually become part of the curricula in
several institutions [27]. The HCI courses should
incorporate AI technology. Allowing AI to
revolutionize education will mean that it will take less
time for students to learn new skills after graduation.
What the future holds is anyone’s guess.
More information about HCI can be found in several
books in [28-40] and several others available on
Amazon.com. One should also consult the following
journals exclusively devoted to AI and HCI:
Human Computer Interaction
Computers in Human Behavior
ACM Transactions on Computer-Human
Interaction
Artificial Intelligence
Applied Artificial Intelligence
REFERENCES
[1] B. A. Nardi and J. Kallinilkos, “Human–
computer interaction,” in W. Donsbach (ed.),
The International Encyclopedia of
Communication. John Wiley & Sons, 2009.
[2] M. N. Posard, “Status processes in human-
computer interactions: Does gender matter?”
Computers in Human Behavior, vol. 37, 2014,
pp. 189–195.
[3] M. N. O. Sadiku, C. M. M. Kotteti, and S. M.
Musa,”Human-computer interaction: A
primer,” International Journal of Trends in
Research and Development, vol. 5, no. 3, May-
June 2018, pp. 169-171.
[4] M. N. O. Sadiku, "Artificial intelligence", IEEE
Potentials, May 1989, pp. 35- 39.
[5] “List of papers and talks.”
https://people.ok.ubc.ca/bowenhui/pubs.html
[6] T. Winograd, “Shifting viewpoints: Artificial
intelligence and human-computer interaction,”
Artificial Intelligence, vol. 170, 2006, pp. 1256-
1258.
[7] Y. Mintz and R. Brodie, “Introduction to
artificial intelligence in medicine,” Minimally
Invasive Therapy & Allied Technologies, vol.
28, no. 2, 2019, pp. 73-81.
[8] R. O. Mason, “Ethical issues in artificial
intelligence,” Encyclopedia of Information
Systems, vol 2, 2003, pp. 239-258.
[9] A. N. Rames et al., “Artificial intelligence in
medicine,” Annals of the Royal College of
Surgeons of England, vol. 86, 2004, pp. 334–
338.
[10] M. N. O. Sadiku, Y. Zhou, and S. M. Musa,
“Natural language processing in healthcare,”
International Journal of Advanced Research in
Computer Science and Software Engineering,
vol. 8, no. 5, May 2018, pp. 39-42.
[11] “No longer science fiction, AI and robotics are
transforming healthcare,”
https://www.pwc.com/gx/en/industries/healthca
re/publications/ai-robotics-new-
health/transforming-healthcare.html
[12] V. S. Moustakis and J. Herrmann, “Where do
machine learning and human-computer
interaction meet?,” Applied Artificial
Intelligence, vol. 11, no. 7-8, 1997, pp. 595-
609.
[13] F. Jiang et al., “Artificial intelligence in
healthcare: Past, present and future,” Stroke
and Vascular Neurology, 2017.
[14] C. Shorten, “Machine learning vs. deep
learning,” September 2018,
https://towardsdatascience.com/machine-
learning-vs-deep-learning-62137a1c9842
[15] B. K. Chadktaborty et al., “a review of
constraints on vision-based gesture recognition
for human-computer interaction,” IET
Computer Vision, vol. 12, no. , November
2017.
[16] A. Newell and S. K. Card, “The prospects for
psychological science in human-computer
interaction,” Human Computer Interaction, vol.
1, 1985, pp. 209-242.
[17] T. F. Waddell, B. Zhang, and S. S. Sundar,
“Human–Computer Interaction,” in C. R.
6. International Journal of Trend in Scientific Research and Development @ www.ijtsrd.com eISSN: 2456-6470
@ IJTSRD | Unique Paper ID – IJTSRD47491 | Volume – 5 | Issue – 6 | Sep-Oct 2021 Page 816
Berger and M. E. Roloff (eds.), The
International Encyclopedia of Interpersonal
Communication. John Wiley & Sons, 2016.
[18] B. Dickson, “How artificial intelligence is
revolutionizinghuman-computerinteraction,”May
2017 in Artificial Intelligence,
https://thenextweb.com/artificial-
intelligence/2017/05/10/artificial-intelligence-
revolutionizing-human-computer-interaction/
[19] M. N. O. Sadiku, Y. Zhou, and S. M. Musa,
“Natural language processing,” International
Journal of Advances in Scientific Research and
Engineering, vol. 4, no. 5, May 2018, pp. 68-
70.
[20] Z. Obrenovic and D. Starcevic, “Modeling
multimodal human-computer interaction,”
Computer, Sept. 2004, pp. 65-72.
[21] M. N. O. Sadiku, A. E. Shadare, and S. M.
Musa,” Affective computing,” International
Journal of Trend in Research and
Development, vol. 5, no. 6, Nov. -Dec. 2018,
pp. 144-145.
[22] J. Chakraborty et al., “The human–computer
interaction of cross-cultural gaming Strategy,”
Journal of Educational Technology Systems,
vol. 43, no. 4, 2015, pp. 371–388.
[23] W. B. Rouse, “Human-computer interaction in
multitask situations,” IEEE Transactions on
Systems, Man, and Cybernetics, Vol. 9L1
SMC-7, no. 5, May 1977, pp. 384392.
[24] D. Aksu and M. A. Aydın, “Human computer
interaction by eye blinking on real time,”
Proceedings of the 9th International
Conference on Computational Intelligence and
Communication Networks, 2017, pp. 135-138.
[25] G. Fisher, “Human-computer interaction
software: Lessons learned, challenges ahead,”
IEEE Software, vol. 6, no. 1, 1989, pp. 44-52.
[26] A. Miller, “The intrinsically linked future
for human and artificial intelligence
interaction,” Journal of Big Data, vol 6, 2019.
[27] J. Urquiza-Fuentes and M. Paredes-Velasco,
“Investigating the effect of realistic projects on
students' motivation, the case of human-
computer interaction course,” Computers in
Human Behavior, vol. 72, 2017, pp. 692-700.
[28] A. Dix et al., Human-Computer Interaction.
Essex, UK: Pearson Education Limited, 3rd
Edition, 2004.
[29] A. Zahirovic et al. (eds.), The Encyclopedia of
Human Computer Interaction: The Interaction
Design Foundation, 2nd edition, 2013.
[30] S. Smith-Atakan, Human-Computer
Interaction. Thomson, 2006.
[31] A. Sears and J. A. Jacko, The Human-Computer
Interaction Handbook: Fundamentals, Evolving
Technologies and Emerging Applications. Boca
Raton, FL: CRC Press, 2nd ed., 2007.
[32] Y. Rogers, H, Sharp, and J. Preece, Interaction
Design: Beyond Human-Computer
Inrteraction. Chichester, UK: John Wiley &
Sons, 2011.
[33] D. A. Norman, and S. W. Draper (eds.), New
Perspectives on Human-computer Interaction.
Boca Raton, FL: CRC Press, 1986.
[34] S. K. Card, T. P. Moran, and A. Newell, The
Psychology of Human-Computer Interaction.
Boca Raton, FL: CRC Press, 2008.
[35] B. A. Nardi, Activity Theory and Human-
Computer Interaction. Cambridge, MA: MIT
Press, 1996.
[36] J. M. Carroll, Human-Computer Interaction in
the New Millennium. New York, NY: ACM
Press/Addison Wesley Publishing Co., 2001.
[37] S. Love, Understanding Mobile Human–
Computer Interaction. Elsevier Butterworth-
Heinemann, 2005.
[38] J. Jacko (ed.), Human-Computer Interaction
Handbook. Boca Raton, FL: CPC Press, 3rd
ed.,
2012.
[39] G. J. Kim, Human-Computer Interaction:
Fundamentals and Practice. Boca Raton, FL:
CRC Press, 2015.
[40] A. Sarmento (ed.), Issues of Human Computer
Interaction. IRM Press, 2005.
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Figure 1 The relationship between AI and human-computer interaction [5].
Figure 2 An illustration of deep learning with two hidden layers [13].
Figure 3 Artificial intelligence encompasses machine learning and deep learning [14].
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Figure 4 Human-computer interaction and related research fields [15].