1) The document discusses how artificial intelligence is impacting and transforming human resource management. AI is automating tasks like recruitment and selection and helping reduce the workload of HR managers.
2) It provides examples of how AI is used in companies for tasks like screening resumes, conducting interviews, and evaluating employee performance. AI tools allow these processes to be completed more efficiently and quickly.
3) While AI is replacing some HR functions, the real challenge for HR departments is how to train and help the workforce understand and collaborate with AI/robots. Effective adoption of AI can improve organizational performance but failure to do so could hamper growth.
Impact Application Intelligence Artificial In the World of EntrepreneurshipDaniel Sitanggang
This study aims to identify the impacts that will be caused by use artificial intelligence
in the business world. The research method used in the study is descriptive, to systematically
describe the related situation. The results of this study indicate the extent to which the impact
that will be caused by artificial intelligence both in a positive view and negative.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Internship report on AI , ML & IIOT and project responses full docsRakesh Arigela
The internship was conducted at Cognibot, a company that develops AI, machine learning, and IIoT systems. The internship objectives were to understand these technologies and their applications. The intern worked on projects involving home robots, emergency response robots, biomedical research, and FMCG manufacturing. Methodologies used included hierarchical control structures and component-based software development. The intern gained skills in Python programming, machine learning algorithms, and LabVIEW. Challenges included inconsistencies in product data. Benefits to the company include increasing its profile and community through reports on its work applying AI and robotics technologies.
How artificial intelligence impact engineeringUSM Systems
Artificial intelligence is having a major impact on the field of engineering. AI is being used in manufacturing to automate production lines and enable machines to perform complex tasks. Machine learning allows automated systems to continuously improve based on data analysis. Engineering projects also benefit from big data analysis and natural language processing, which helps automate tasks and improves communication between humans and AI systems. Overall, AI is transforming engineering by automating production, enhancing data analysis capabilities, and improving human-machine interaction.
This document provides an introduction to artificial intelligence (AI) concepts and terminology. It discusses key AI topics like machine learning, deep learning, neural networks, and natural language processing. It also covers a brief history of AI, potential economic impacts of AI, challenges like bias, and the role of designers in ensuring AI is developed responsibly. The document aims to give an overview of AI to help readers understand this emerging field at a high level.
Learn the workings of using intelligent machines for your processes using content-ready Artificial Intelligence PowerPoint Presentation Slides. Processes like learning, reasoning, self-correction, etc. are executed by artificial intelligent machines. Incorporate ready-made artificial intelligence PPT presentation templates and maximize the chance of achieving the organizational goals. This deck comprises of templates such as artificial intelligence objectives, artificial intelligence components, artificial intelligence statistics, artificial intelligence & investment by sector, artificial intelligence in various sectors, core areas of artificial intelligence, artificial intelligence value chain elements, artificial intelligence development phases, artificial intelligence approaches, machine learning (pattern based), machine learning description, machine learning process, machine learning use cases, and more. These templates are customizable. Edit color, text, icon and font size as per your need. Grab easy-to-understand artificial intelligence PowerPoint presentation slideshow and perform tasks associated with intelligent beings. Find solutions to the business problems without human intervention. Provide better products and services with the help of AI PPT templates. Click the download button to perform difficult tasks with ease using ready-made artificial intelligence PowerPoint presentation slides. Our Artificial Intelligence Powerpoint Presentation Slides team will alert you about changing demands. Their eyes and ears are always open.
Impact Application Intelligence Artificial In the World of EntrepreneurshipDaniel Sitanggang
This study aims to identify the impacts that will be caused by use artificial intelligence
in the business world. The research method used in the study is descriptive, to systematically
describe the related situation. The results of this study indicate the extent to which the impact
that will be caused by artificial intelligence both in a positive view and negative.
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete DeckSlideTeam
AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck is loaded with easy-to-follow content, and intuitive design. Introduce the types and levels of artificial intelligence using the highly-effective visuals featured in this PPT slide deck. Showcase the AI-subfield of machine learning, as well as deep learning through our comprehensive PowerPoint theme. Represent the differences, and interrelationship between AI, ML, and DL. Elaborate on the scope and use case of machine intelligence in healthcare, HR, banking, supply chain, or any other industry. Take advantage of the infographic-style layout to describe why AI is flourishing in today’s day and age. Elucidate AI trends such as robotic process automation, advanced cybersecurity, AI-powered chatbots, and more. Cover all the essentials of machine learning and deep learning with the help of this PPT slideshow. Outline the application, algorithms, use cases, significance, and selection criteria for machine learning. Highlight the deep learning process, types, limitations, and significance. Describe reinforcement training, neural network classifications, and a lot more. Hit download and begin personalization. Our AI Vs ML Vs DL PowerPoint Presentation Slide Templates Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3ngJCKf
Artificial Intelligence Vs Machine Learning Vs Deep Learningvenkatvajradhar1
This technology is no longer a matter of science fiction. Instead, we see artificial intelligence in every part of our lives. Smart assistants are on our phones and speakers, helping us find information and complete everyday tasks. At work, chatbots are affiliated with the Customer Support Team, with estimates that they will be responsible for 85% of customer service by next year.
Internship report on AI , ML & IIOT and project responses full docsRakesh Arigela
The internship was conducted at Cognibot, a company that develops AI, machine learning, and IIoT systems. The internship objectives were to understand these technologies and their applications. The intern worked on projects involving home robots, emergency response robots, biomedical research, and FMCG manufacturing. Methodologies used included hierarchical control structures and component-based software development. The intern gained skills in Python programming, machine learning algorithms, and LabVIEW. Challenges included inconsistencies in product data. Benefits to the company include increasing its profile and community through reports on its work applying AI and robotics technologies.
How artificial intelligence impact engineeringUSM Systems
Artificial intelligence is having a major impact on the field of engineering. AI is being used in manufacturing to automate production lines and enable machines to perform complex tasks. Machine learning allows automated systems to continuously improve based on data analysis. Engineering projects also benefit from big data analysis and natural language processing, which helps automate tasks and improves communication between humans and AI systems. Overall, AI is transforming engineering by automating production, enhancing data analysis capabilities, and improving human-machine interaction.
This document provides an introduction to artificial intelligence (AI) concepts and terminology. It discusses key AI topics like machine learning, deep learning, neural networks, and natural language processing. It also covers a brief history of AI, potential economic impacts of AI, challenges like bias, and the role of designers in ensuring AI is developed responsibly. The document aims to give an overview of AI to help readers understand this emerging field at a high level.
Learn the workings of using intelligent machines for your processes using content-ready Artificial Intelligence PowerPoint Presentation Slides. Processes like learning, reasoning, self-correction, etc. are executed by artificial intelligent machines. Incorporate ready-made artificial intelligence PPT presentation templates and maximize the chance of achieving the organizational goals. This deck comprises of templates such as artificial intelligence objectives, artificial intelligence components, artificial intelligence statistics, artificial intelligence & investment by sector, artificial intelligence in various sectors, core areas of artificial intelligence, artificial intelligence value chain elements, artificial intelligence development phases, artificial intelligence approaches, machine learning (pattern based), machine learning description, machine learning process, machine learning use cases, and more. These templates are customizable. Edit color, text, icon and font size as per your need. Grab easy-to-understand artificial intelligence PowerPoint presentation slideshow and perform tasks associated with intelligent beings. Find solutions to the business problems without human intervention. Provide better products and services with the help of AI PPT templates. Click the download button to perform difficult tasks with ease using ready-made artificial intelligence PowerPoint presentation slides. Our Artificial Intelligence Powerpoint Presentation Slides team will alert you about changing demands. Their eyes and ears are always open.
This document provides an overview of IT competency and key concepts. It discusses what competence means and signs of competence. There are different categories of IT jobs that require various IT competencies. The document also discusses how IT competency affects personal and business life through education and communication. Finally, it identifies 4 important internet services: connecting with others, accessing news, education resources, and supporting business/advertising.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
Usage of artificial intelligence in everyday lifekawsher11
The document discusses the history and uses of artificial intelligence. It begins with definitions of AI and discusses early pioneers in the field like Alan Turing. It then outlines goals of AI like deduction, reasoning, and problem solving. The document proceeds to discuss many everyday uses of AI today, including virtual assistants, social media, navigation, smart cars, banking, healthcare, and smart home devices. It also notes advantages like increased convenience, as well as disadvantages like cost and potential unemployment. The conclusion emphasizes using technology responsibly.
AI EXPLAINED Non-Technical Guide for PolicymakersBranka Panic
This guide is meant to help policymakers and citizens understand the basics of Artificial Intelligence (AI) and how it affects our society. It offers explanations and additional resources to help policymakers prepare for the current
and future AI developments.
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
Artificial Intelligence PowerPoint Presentation Slide Template Complete Deck is a comprehensive virtual solution for technology experts. With the help of this PowerPoint theme, you can elucidate the differences between machine intelligence, machine learning, and deep learning. Employ our PPT presentation to cover merits, demerits, learning techniques, and types of supervised machine learning. You can also elucidate the benefits, limitations, and types of unsupervised machine learning. Similarly, cover important aspects related to reinforcement learning. Our AI PowerPoint slideshow also helps you in elaborating back propagation of neural networks. Walk your audience through the expert system in artificial intelligence. Cover examples, features, components, application, benefits, limitations, and other aspects of the expert system. Consolidate the deep learning process, recurrent neural networks, and convolutional neural networks through this PPT template deck. Give a crisp introduction to artificial intelligence. Introduce types, algorithms, trends, and use cases of artificial intelligence. Hit the download icon and begin instant personalization. Our Artificial Intelligence PowerPoint Presentation Slide Template Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3nfgjaT
Artificial Intelligence High Technology PowerPoint Presentation Slides Comple...SlideTeam
Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck combines state-of-the-art design with insightful info. This PPT template deck helps you express every important aspect of machine intelligence. Showcase definition, types, use cases, trends, application, and present situation of AI. Employ our PowerPoint theme to elucidate the differences between AI, machine learning, and deep learning. Our PPT layout designers incorporate cutting-edge diagrams, and graphics to simplify complex data and season bland content. Illustrate the application, selection method, significance, function, use cases, challenges, and limitations of machine learning. Also, walk your audience through ML algorithms, decision tree algorithm learning, and differences between traditional programming and machine learning. Offer a complete overview of deep learning including the process, application, limitations, and significance through this comprehensive PowerPoint presentation. Highlight reinforcement learning, classification of neural networks, deep learning networks, feed-forward neural networks, recurrent neural networks, and convolutional neural networks. You will also find data on supervised and unsupervised machine learning, back propagation, and AI expert systems. Smash the download icon to personalize. Our Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3oaWpPz
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
IRJET- Development of a Face Recognition System with Deep Learning and Py...IRJET Journal
This document presents the development of a face recognition system using deep learning algorithms and PyTorch. The system was trained on a dataset of 94 face images and was able to extract relevant facial features to encode faces and recognize them with 95% accuracy. The system represents faces as 128-dimensional embeddings that allow for efficient comparison of faces within the dataset. It can recognize faces in the dataset and continuously learn by incorporating new face images to improve its predictions.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
This document provides information about a two-day online conference on machine learning and artificial intelligence. It will be held on March 7-8, 2022 from 10:00 am to 5:00 pm India time. The conference will feature presentations from six expert coaches on topics including introductions to AI/ML concepts and techniques, applications in different industries, and organizational challenges of implementing AI initiatives. Each day will include morning and afternoon sessions with topics like neural networks, deep learning, natural language processing, and case studies.
This document summarizes a research paper that proposes a facial recognition system using a Raspberry Pi to unlock doors. It uses conventional techniques like Haar detection and PCA (principal component analysis). The system extracts features from faces and represents them as eigenfaces to encode facial identities. These eigenfaces are used as inputs to a neural network for facial classification and recognition. When a recognized face is detected, a servo motor will unlock the door automatically. If an unrecognized face is found, the system will notify an administrator. The goal is to create an efficient and affordable facial recognition access system as an alternative to keys or ID cards.
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
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.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. 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.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. 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 theoretic
Learn more at: https://www.simplilearn.com
The document provides a short biography of Ashok Soota, an Indian IT entrepreneur and serial entrepreneur. It details his career founding and leading major Indian IT companies like Wipro Infotech and Mindtree. It also lists some of his accomplishments and recognition, including being named IT Man of the Year twice and recognized for helping to build the Indian IT industry. He is currently the Executive Chairman and Co-Founder of Happiest Minds Technologies, an IT company focused on digital transformation.
Augmented intelligence is new way forward ! Steve Ardire
1. Augmented Intelligence transcends current narrow AI and allows machines and humans to work together pervasively and competitively.
2. Augmented Intelligence provides faster insights into operations too complex for human minds alone by understanding them better.
3. Augmented Intelligence with causal AI has the greatest potential to change industries and competition by how businesses operate.
This document provides a roadmap for Ultimaker's future strategy to help users cross the knowledge gap in how to design for 3D printing. It outlines a process involving creative trend research, defining a target group of professionals and startups, envisioning a future where all professionals can exploit 3D printing possibilities, exploring technology and modular printer architecture, and developing strategic and tactical roadmaps. The roadmaps propose solutions from 2020-2025 to enable startups to overcome limitations like the complexity of 3D software and costs of 3D printing for single projects.
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
This document provides an overview of IT competency and key concepts. It discusses what competence means and signs of competence. There are different categories of IT jobs that require various IT competencies. The document also discusses how IT competency affects personal and business life through education and communication. Finally, it identifies 4 important internet services: connecting with others, accessing news, education resources, and supporting business/advertising.
IRJET- Relative Study on Artificial Intelligence Interaction with Human EmotionsIRJET Journal
The document discusses artificial intelligence and its interaction with human emotions. It provides background on AI, including definitions, history, and current applications. It explores how AI is beginning to understand human emotions through voice recognition, facial expression analysis, and other methods. It also examines scenarios where AI could potentially become dangerous if not properly programmed or regulated, such as if autonomous weapons were not kept under human control. The document concludes that AI is making progress in detecting human emotions and will likely become more integrated into daily life.
Usage of artificial intelligence in everyday lifekawsher11
The document discusses the history and uses of artificial intelligence. It begins with definitions of AI and discusses early pioneers in the field like Alan Turing. It then outlines goals of AI like deduction, reasoning, and problem solving. The document proceeds to discuss many everyday uses of AI today, including virtual assistants, social media, navigation, smart cars, banking, healthcare, and smart home devices. It also notes advantages like increased convenience, as well as disadvantages like cost and potential unemployment. The conclusion emphasizes using technology responsibly.
AI EXPLAINED Non-Technical Guide for PolicymakersBranka Panic
This guide is meant to help policymakers and citizens understand the basics of Artificial Intelligence (AI) and how it affects our society. It offers explanations and additional resources to help policymakers prepare for the current
and future AI developments.
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
The documents discuss the balance between AI and human workers. By 2021, AI assistants are forecast to handle 85% of customer service queries at just 10% of the cost of live agents. However, humans still provide skills like empathy, ethics and complex decision making that AI cannot replace. When used as augmentation rather than replacement, AI can help humans perform tasks faster and improve outcomes. An experiment found that including AI bots in a coordination game improved overall human performance, particularly during difficult tasks. For the future, organizations must view digital transformation as both a technology and people journey to create new jobs and reskill employees as roles evolve with new technologies.
Artificial Intelligence PowerPoint Presentation Slide Template Complete Deck is a comprehensive virtual solution for technology experts. With the help of this PowerPoint theme, you can elucidate the differences between machine intelligence, machine learning, and deep learning. Employ our PPT presentation to cover merits, demerits, learning techniques, and types of supervised machine learning. You can also elucidate the benefits, limitations, and types of unsupervised machine learning. Similarly, cover important aspects related to reinforcement learning. Our AI PowerPoint slideshow also helps you in elaborating back propagation of neural networks. Walk your audience through the expert system in artificial intelligence. Cover examples, features, components, application, benefits, limitations, and other aspects of the expert system. Consolidate the deep learning process, recurrent neural networks, and convolutional neural networks through this PPT template deck. Give a crisp introduction to artificial intelligence. Introduce types, algorithms, trends, and use cases of artificial intelligence. Hit the download icon and begin instant personalization. Our Artificial Intelligence PowerPoint Presentation Slide Template Complete Deck are explicit and effective. They combine clarity and concise expression. https://bit.ly/3nfgjaT
Artificial Intelligence High Technology PowerPoint Presentation Slides Comple...SlideTeam
Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck combines state-of-the-art design with insightful info. This PPT template deck helps you express every important aspect of machine intelligence. Showcase definition, types, use cases, trends, application, and present situation of AI. Employ our PowerPoint theme to elucidate the differences between AI, machine learning, and deep learning. Our PPT layout designers incorporate cutting-edge diagrams, and graphics to simplify complex data and season bland content. Illustrate the application, selection method, significance, function, use cases, challenges, and limitations of machine learning. Also, walk your audience through ML algorithms, decision tree algorithm learning, and differences between traditional programming and machine learning. Offer a complete overview of deep learning including the process, application, limitations, and significance through this comprehensive PowerPoint presentation. Highlight reinforcement learning, classification of neural networks, deep learning networks, feed-forward neural networks, recurrent neural networks, and convolutional neural networks. You will also find data on supervised and unsupervised machine learning, back propagation, and AI expert systems. Smash the download icon to personalize. Our Artificial Intelligence High Technology PowerPoint Presentation Slides Complete Deck are topically designed to provide an attractive backdrop to any subject. Use them to look like a presentation pro. https://bit.ly/3oaWpPz
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
IRJET- Development of a Face Recognition System with Deep Learning and Py...IRJET Journal
This document presents the development of a face recognition system using deep learning algorithms and PyTorch. The system was trained on a dataset of 94 face images and was able to extract relevant facial features to encode faces and recognize them with 95% accuracy. The system represents faces as 128-dimensional embeddings that allow for efficient comparison of faces within the dataset. It can recognize faces in the dataset and continuously learn by incorporating new face images to improve its predictions.
This document provides information about two panels at the HICSS-55 conference on the future of work and augmented intelligence. The panels will take place on January 3, 2022 and discuss social, organizational, and technical perspectives on how augmented intelligence can augment human capabilities. The document lists the panelists and their affiliations for both panels. It also provides context about the conference and links to additional resources.
This document provides information about a two-day online conference on machine learning and artificial intelligence. It will be held on March 7-8, 2022 from 10:00 am to 5:00 pm India time. The conference will feature presentations from six expert coaches on topics including introductions to AI/ML concepts and techniques, applications in different industries, and organizational challenges of implementing AI initiatives. Each day will include morning and afternoon sessions with topics like neural networks, deep learning, natural language processing, and case studies.
This document summarizes a research paper that proposes a facial recognition system using a Raspberry Pi to unlock doors. It uses conventional techniques like Haar detection and PCA (principal component analysis). The system extracts features from faces and represents them as eigenfaces to encode facial identities. These eigenfaces are used as inputs to a neural network for facial classification and recognition. When a recognized face is detected, a servo motor will unlock the door automatically. If an unrecognized face is found, the system will notify an administrator. The goal is to create an efficient and affordable facial recognition access system as an alternative to keys or ID cards.
Artificial Intelligence Course | AI Tutorial For Beginners | Artificial Intel...Simplilearn
This Artificial Intelligence presentation will help you understand what is Artificial Intelligence, types of Artificial Intelligence, ways of achieving Artificial Intelligence and applications of Artificial Intelligence. In the end, we will also implement a use case on TensorFlow in which we will predict whether a person has diabetes or not. Artificial Intelligence is a method of making a computer, a computer-controlled robot or a software think intelligently in a manner similar to the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Artificial Intelligence is emerging as the next big thing in the technology field. Organizations are adopting AI and budgeting for certified professionals in the field, thus the demand for trained and certified professionals in AI is increasing. As this new field continues to grow, it will have an impact on everyday life and lead to considerable implications for many industries. Now, let us deep dive into the AI tutorial video and understand what is this Artificial Intelligence all about and how it can impact human life.
The topics covered in this Artificial Intelligence presentation are as follows:
1. What is Artificial intelligence?
2. Types of Artificial intelligence
3. Ways of achieving artificial intelligence
4. Applications of Artificial intelligence
5. Use case - Predicting if a person has diabetes or not
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.
Those who complete the course will be able to:
1. Master the concepts of supervised and unsupervised learning
2. 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.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of machine learning.
4. 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 theoretic
Learn more at: https://www.simplilearn.com
The document provides a short biography of Ashok Soota, an Indian IT entrepreneur and serial entrepreneur. It details his career founding and leading major Indian IT companies like Wipro Infotech and Mindtree. It also lists some of his accomplishments and recognition, including being named IT Man of the Year twice and recognized for helping to build the Indian IT industry. He is currently the Executive Chairman and Co-Founder of Happiest Minds Technologies, an IT company focused on digital transformation.
Augmented intelligence is new way forward ! Steve Ardire
1. Augmented Intelligence transcends current narrow AI and allows machines and humans to work together pervasively and competitively.
2. Augmented Intelligence provides faster insights into operations too complex for human minds alone by understanding them better.
3. Augmented Intelligence with causal AI has the greatest potential to change industries and competition by how businesses operate.
This document provides a roadmap for Ultimaker's future strategy to help users cross the knowledge gap in how to design for 3D printing. It outlines a process involving creative trend research, defining a target group of professionals and startups, envisioning a future where all professionals can exploit 3D printing possibilities, exploring technology and modular printer architecture, and developing strategic and tactical roadmaps. The roadmaps propose solutions from 2020-2025 to enable startups to overcome limitations like the complexity of 3D software and costs of 3D printing for single projects.
The document provides an overview of an artificial intelligence course taught at the Nadimpalli Satyanarayana Raju Institute of Technology. The course instructor is D Hema Sri Chowdary and covers topics such as the definition of AI, its importance and applications, the differences between AI, machine learning and deep learning, and the pros and cons of AI. A brief history of AI development is also presented, outlining major advancements from 1956 to the present.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
Discussion - Weeks 1–2COLLAPSETop of FormShared Practice—Rol.docxcuddietheresa
Discussion - Weeks 1–2
COLLAPSE
Top of Form
Shared Practice—Role of Business Information Systems
Note: This Discussion has slightly different due dates than what is typical for this program. Be mindful of this as you post and respond in the Discussion. Your post is due on Day 7 and your Response is due on Day 3 of Week 2.
As a manager, it is critical for you to understand the types of business information systems available to support business operations, management, and strategy. As of 2013, these include, but are certainly not limited to the following:
· Supply Chain Management (SCM)
· Accounting Information System
· Customer Relationship Management (CRM)
· Decision Support Systems (DSS)
· Enterprise Resource Planning (ERP)
· Human Resource Management
These types of systems support critical business functions and operations that every organization must manage. The effective manager understands the purpose of these types of systems and how they can be best used to manage the organization's data and information.
In this Discussion, you will share your knowledge and findings related to business information systems and the role they play in your organization. You will also consider your colleagues' experiences to explore additional ways business information systems might be applied in your colleagues' organizations, or an organization with which you are familiar.
By Day 7
· Describe two or three of the more important technologies or business information systems used in your organization, or in one with which you are familiar.
· Discuss two examples of how these business information systems are affecting the organization you selected. Be sure to discuss how individual behaviors and organizational or individual processes are changing and what you can learn from the issues encountered.
· Summarize what you have learned about the importance of business information systems and why managers need to understand how systems can be used to the organization's advantage.
You should find and use at least one additional current article from a credible resource, either from the Walden Library or the Internet. Please be specific, and remember to use citations and references as necessary.
General Guidance: Your initial Discussion post, due by Day 7, will typically be 3–4 paragraphs in length as a general expectation/estimate. Refer to the rubric for the Week 1 Discussion for grading elements and criteria. Your Instructor will use the rubric to assess your work.
Week 2
By Day 3
In your Week 1 Discussion you described how business information systems have been applied in an organization with which you are familiar. Read through your colleagues' posts and by Day 3 (Week 2), respond to two of your colleagues in one or more of the following ways:
· Examine how the business information systems described by your colleague could be or are being used by your organization. Offer additional ways either organization might take advantage of these systems.
· Examine how the b ...
This document is a seminar report on artificial intelligence and chatbots submitted by Akolam Lilian C. to the Department of Computer Science at Enugu State University of Science and Technology. The report discusses the background and objectives of AI and chatbots, including their significance and applications. It also covers the literature review, discussion of ANI and AGI, chatbot architectures, and development platforms. The report is organized into sections on introduction, literature review, discussion, conclusion, and references.
Artificial intelligence is reshaping academia by providing personalized learning and automating administrative tasks. In tech, AI improves productivity through automation and enhances security. AI also boosts customer service, business optimization, and investment strategies for earning purposes. However, AI presents both short-term job displacement challenges and long-term potential to transform industries through new jobs. Ethical development and use of AI is needed.
Artificial intelligence is reshaping academia by providing personalized learning and automating administrative tasks. In tech, AI improves productivity through automation and enhances security. AI also boosts customer service, business optimization, and investment strategies for earning purposes. However, AI risks displacing some jobs in the short term and transforming industries in unknown ways long term.
This document discusses the advantages and disadvantages of artificial intelligence (AI), as well as the benefits, importance, and impact of AI. It notes that while AI incurs high costs and could lead to unemployment, it also allows for rational decision making, accuracy, and applications in healthcare. The benefits of AI include automation, improved customer experience, smarter decision making, research and data analysis, and solving complex problems. AI is also important as it makes life easier by minimizing human effort and operating automatically with precision. However, AI is having a significant impact on society and the job market as it causes issues through job losses being transferred to machines.
AI leadership. AI the basics of the truth and noise publicLucio Ribeiro
There are 6 things I identified in the last 2 Years I have been working in AI.
The Problem is - Hysteria
The lack of context is leading to Noise
The Noise is distracting from the attention and urgency where AI should really be
Executives want a Solution and Directions.
THE GOOD NEWS IS: You don’t need to know the HOW to do, leave this to the tech dudes. You need to know the WHY?
You need to create a culture of enablement. A culture of Data
The document discusses artificial intelligence (AI) and its potential role in creating digital labor through integration with robotic process automation (RPA). It outlines some of the main challenges with implementing and operating AI, including issues with trust, developing appropriate reward systems, ensuring proper preparation, and addressing risks like lack of employee motivation or AI making wrong decisions. Successfully implementing AI requires time, transparency, analytics, governance programs, and establishing centers of excellence to manage automation.
HOW HUMAN-CENTRIC AI WILL TRANSFORM BUSINESSTekRevol LLC
Artificial Intelligence (AI) has the potential to help us achieve our common dream of a better future for humanity as a whole, but it will bring challenges and opportunities that we cannot yet predict.
Given the revolutionary power of artificial intelligence in business, many people wonder, “If AI is to do the grunt work in the business world, what room is there for so-called ‘human’ qualities? Is the future of business and technology so deeply interconnected, that it leaves no space for human intelligence and action vagaries?”
To people asking these questions, the answer is simple and quick – absolutely.
https://www.tekrevol.com/blogs/how-human-centric-ai-will-transform-business/
Artificial Intelligence can Offer People Great Relief from Performing Mundane...JPLoft Solutions
AI refers to the recreation of human-like intelligence in machines created to function like humans and mimic their actions. Artificial Intelligence solutions can be applied to any device that exhibits traits similar to the human brain, such as the capacity to learn and analytical thinking.
This is a PPT which highlights the basics of artificial intelligence and how it works and will affect job scenario.
ai in drug discovery, artificial intelligence, artificial intelligence in drug discovery, deep learning, deep learning techniques, gan, generative adversarial network (gan), gpu, gpu (graphics processing unit)-, graphics processing units, machine learning, matconvent, nvidia, nvidia dgx-1, python, tensorflow, torche, IBM watson for drug discovery
machine learning in drug discovery, deep learning in drug discovery
This document discusses generative AI, including what it is, how it works, challenges, and potential business uses. Some key points:
- Generative AI can automatically generate new text, images, videos and other content based on training data, rather than just categorizing data like other machine learning.
- It uses large language models trained on vast datasets to generate human-like responses to prompts. While this allows for many potential business uses, challenges include lack of transparency, privacy/security issues, and the risk of factual inaccuracies.
- Generative AI could be used by businesses for tasks like document processing, writing code, augmenting human work, and creating marketing content. Industries like insurance, legal,
Don’t Make A Human Do A Robot’s Job! : 6 Reasons Why AI Will Save Us & Not De...Moses Kemibaro
This is a presentation made by Dotsavvy's Founder & CEO Moses Kemibaro at the 2023 edition of the Marketers Conference on Friday the 1st December 2023.
The presentation focussed on the following reasons why Artificial Intelligence or AI is essential in the future of work, as follows:
1/ Speed of Execution
Generative AI drastically reduces the time needed to complete tasks. It allows us to accomplish more in less time, redefining productivity and making time an even more valuable resource.
2/ Quality of Outputs
Generative AI has led to a noticeable improvement in the quality of work. Whether working individually or collaboratively, the output is often superior to traditional methods.
3/ Increased Productivity
The sheer volume of work achievable with generative AI is astonishing. It empowers individuals and businesses to achieve what was previously impossible, amplifying productivity.
4/ Reduced Costs
By incorporating generative AI, businesses and individuals can reduce operating costs. This cost-effectiveness leads to optimized profits and resource allocation.
5/ Improved Revenues
Generative AI can create new revenue streams and increased productivity. Understanding and leveraging AI tools like ChatGPT makes this possible scale.
6/ Easier Work
Generative AI has made complex and challenging tasks much easier. This opens up new possibilities, allowing people to engage in activities or produce outputs that were once out of reach.
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 (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses what intelligence and artificial intelligence are, provides definitions and examples of artificial intelligence, and explains how artificial intelligence works through machine learning algorithms. It also covers the goals, history, and advantages of artificial intelligence.
THE PATH OF ARTIFICIAL INTELLIGENCE IN 2019VARUN KESAVAN
AI is out there ready to be consumed by startups and corporations alike to solve almost any problem from commuting to visualizing, replacing many mundane human tasks with efficient machines and leaving us humans to make more complex decisions.
When Turing proposed the concept of the thinking machine, this ability of a machine to think for itself was too farfetched and crazy. As a result, the project titled 'Artificial Intelligence' (AI) kept getting shelved. But if we were to learn from history machines would also become smarter than humans once they get the drift. So, we should ask ourselves, 'How close will we be to that stage in 2019?' Only that can summarize any projections for 2019 because 'projections' are towards an inevitable future, otherwise they're merely wishful thoughts or prophesies.
AI could impact every aspect of our lives but due to the limitations of space and time I will restrict myself to AI in text processing which we've been working on for the last five years.
Similar to IRJET- To Study Impact of Artificial Intelligence on Human Resource Management (20)
TUNNELING IN HIMALAYAS WITH NATM METHOD: A SPECIAL REFERENCES TO SUNGAL TUNNE...IRJET Journal
1) The document discusses the Sungal Tunnel project in Jammu and Kashmir, India, which is being constructed using the New Austrian Tunneling Method (NATM).
2) NATM involves continuous monitoring during construction to adapt to changing ground conditions, and makes extensive use of shotcrete for temporary tunnel support.
3) The methodology section outlines the systematic geotechnical design process for tunnels according to Austrian guidelines, and describes the various steps of NATM tunnel construction including initial and secondary tunnel support.
STUDY THE EFFECT OF RESPONSE REDUCTION FACTOR ON RC FRAMED STRUCTUREIRJET Journal
This study examines the effect of response reduction factors (R factors) on reinforced concrete (RC) framed structures through nonlinear dynamic analysis. Three RC frame models with varying heights (4, 8, and 12 stories) were analyzed in ETABS software under different R factors ranging from 1 to 5. The results showed that displacement increased as the R factor decreased, indicating less linear behavior for lower R factors. Drift also decreased proportionally with increasing R factors from 1 to 5. Shear forces in the frames decreased with higher R factors. In general, R factors of 3 to 5 produced more satisfactory performance with less displacement and drift. The displacement variations between different building heights were consistent at different R factors. This study evaluated how R factors influence
A COMPARATIVE ANALYSIS OF RCC ELEMENT OF SLAB WITH STARK STEEL (HYSD STEEL) A...IRJET Journal
This study compares the use of Stark Steel and TMT Steel as reinforcement materials in a two-way reinforced concrete slab. Mechanical testing is conducted to determine the tensile strength, yield strength, and other properties of each material. A two-way slab design adhering to codes and standards is executed with both materials. The performance is analyzed in terms of deflection, stability under loads, and displacement. Cost analyses accounting for material, durability, maintenance, and life cycle costs are also conducted. The findings provide insights into the economic and structural implications of each material for reinforcement selection and recommendations on the most suitable material based on the analysis.
Effect of Camber and Angles of Attack on Airfoil CharacteristicsIRJET Journal
This document discusses a study analyzing the effect of camber, position of camber, and angle of attack on the aerodynamic characteristics of airfoils. Sixteen modified asymmetric NACA airfoils were analyzed using computational fluid dynamics (CFD) by varying the camber, camber position, and angle of attack. The results showed the relationship between these parameters and the lift coefficient, drag coefficient, and lift to drag ratio. This provides insight into how changes in airfoil geometry impact aerodynamic performance.
A Review on the Progress and Challenges of Aluminum-Based Metal Matrix Compos...IRJET Journal
This document reviews the progress and challenges of aluminum-based metal matrix composites (MMCs), focusing on their fabrication processes and applications. It discusses how various aluminum MMCs have been developed using reinforcements like borides, carbides, oxides, and nitrides to improve mechanical and wear properties. These composites have gained prominence for their lightweight, high-strength and corrosion resistance properties. The document also examines recent advancements in fabrication techniques for aluminum MMCs and their growing applications in industries such as aerospace and automotive. However, it notes that challenges remain around issues like improper mixing of reinforcements and reducing reinforcement agglomeration.
Dynamic Urban Transit Optimization: A Graph Neural Network Approach for Real-...IRJET Journal
This document discusses research on using graph neural networks (GNNs) for dynamic optimization of public transportation networks in real-time. GNNs represent transit networks as graphs with nodes as stops and edges as connections. The GNN model aims to optimize networks using real-time data on vehicle locations, arrival times, and passenger loads. This helps increase mobility, decrease traffic, and improve efficiency. The system continuously trains and infers to adapt to changing transit conditions, providing decision support tools. While research has focused on performance, more work is needed on security, socio-economic impacts, contextual generalization of models, continuous learning approaches, and effective real-time visualization.
Structural Analysis and Design of Multi-Storey Symmetric and Asymmetric Shape...IRJET Journal
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A Review of “Seismic Response of RC Structures Having Plan and Vertical Irreg...IRJET Journal
This document summarizes and reviews a research paper on the seismic response of reinforced concrete (RC) structures with plan and vertical irregularities, with and without infill walls. It discusses how infill walls can improve or reduce the seismic performance of RC buildings, depending on factors like wall layout, height distribution, connection to the frame, and relative stiffness of walls and frames. The reviewed research paper analyzes the behavior of infill walls, effects of vertical irregularities, and seismic performance of high-rise structures under linear static and dynamic analysis. It studies response characteristics like story drift, deflection and shear. The document also provides literature on similar research investigating the effects of infill walls, soft stories, plan irregularities, and different
This document provides a review of machine learning techniques used in Advanced Driver Assistance Systems (ADAS). It begins with an abstract that summarizes key applications of machine learning in ADAS, including object detection, recognition, and decision-making. The introduction discusses the integration of machine learning in ADAS and how it is transforming vehicle safety. The literature review then examines several research papers on topics like lightweight deep learning models for object detection and lane detection models using image processing. It concludes by discussing challenges and opportunities in the field, such as improving algorithm robustness and adaptability.
Long Term Trend Analysis of Precipitation and Temperature for Asosa district,...IRJET Journal
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2) Mann-Kendall tests found the decreasing temperature trends to be statistically significant for annual maximum temperatures but not for annual minimum temperatures.
3) Annual precipitation in Asosa District showed a statistically significant increasing trend.
The conclusions recommend development planners account for rising summer precipitation and declining temperatures in
P.E.B. Framed Structure Design and Analysis Using STAAD ProIRJET Journal
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A Review on Innovative Fiber Integration for Enhanced Reinforcement of Concre...IRJET Journal
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Survey Paper on Cloud-Based Secured Healthcare SystemIRJET Journal
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Review on studies and research on widening of existing concrete bridgesIRJET Journal
This document summarizes several studies that have been conducted on widening existing concrete bridges. It describes a study from China that examined load distribution factors for a bridge widened with composite steel-concrete girders. It also outlines challenges and solutions for widening a bridge in the UAE, including replacing bearings and stitching the new and existing structures. Additionally, it discusses two bridge widening projects in New Zealand that involved adding precast beams and stitching to connect structures. Finally, safety measures and challenges for strengthening a historic bridge in Switzerland under live traffic are presented.
React based fullstack edtech web applicationIRJET Journal
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A Comprehensive Review of Integrating IoT and Blockchain Technologies in the ...IRJET Journal
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A REVIEW ON THE PERFORMANCE OF COCONUT FIBRE REINFORCED CONCRETE.IRJET Journal
This document provides a review of research on the performance of coconut fibre reinforced concrete. It summarizes several studies that tested different volume fractions and lengths of coconut fibres in concrete mixtures with varying compressive strengths. The studies found that coconut fibre improved properties like tensile strength, toughness, crack resistance, and spalling resistance compared to plain concrete. Volume fractions of 2-5% and fibre lengths of 20-50mm produced the best results. The document concludes that using a 4-5% volume fraction of coconut fibres 30-40mm in length with M30-M60 grade concrete would provide benefits based on previous research.
Optimizing Business Management Process Workflows: The Dynamic Influence of Mi...IRJET Journal
The document discusses optimizing business management processes through automation using Microsoft Power Automate and artificial intelligence. It provides an overview of Power Automate's key components and features for automating workflows across various apps and services. The document then presents several scenarios applying automation solutions to common business processes like data entry, monitoring, HR, finance, customer support, and more. It estimates the potential time and cost savings from implementing automation for each scenario. Finally, the conclusion emphasizes the transformative impact of AI and automation tools on business processes and the need for ongoing optimization.
Multistoried and Multi Bay Steel Building Frame by using Seismic DesignIRJET Journal
The document describes the seismic design of a G+5 steel building frame located in Roorkee, India according to Indian codes IS 1893-2002 and IS 800. The frame was analyzed using the equivalent static load method and response spectrum method, and its response in terms of displacements and shear forces were compared. Based on the analysis, the frame was designed as a seismic-resistant steel structure according to IS 800:2007. The software STAAD Pro was used for the analysis and design.
Cost Optimization of Construction Using Plastic Waste as a Sustainable Constr...IRJET Journal
This research paper explores using plastic waste as a sustainable and cost-effective construction material. The study focuses on manufacturing pavers and bricks using recycled plastic and partially replacing concrete with plastic alternatives. Initial results found that pavers and bricks made from recycled plastic demonstrate comparable strength and durability to traditional materials while providing environmental and cost benefits. Additionally, preliminary research indicates incorporating plastic waste as a partial concrete replacement significantly reduces construction costs without compromising structural integrity. The outcomes suggest adopting plastic waste in construction can address plastic pollution while optimizing costs, promoting more sustainable building practices.
Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...IJECEIAES
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Literature Review Basics and Understanding Reference Management.pptxDr Ramhari Poudyal
Three-day training on academic research focuses on analytical tools at United Technical College, supported by the University Grant Commission, Nepal. 24-26 May 2024
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024Sinan KOZAK
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Electric vehicle and photovoltaic advanced roles in enhancing the financial p...IJECEIAES
Climate change's impact on the planet forced the United Nations and governments to promote green energies and electric transportation. The deployments of photovoltaic (PV) and electric vehicle (EV) systems gained stronger momentum due to their numerous advantages over fossil fuel types. The advantages go beyond sustainability to reach financial support and stability. The work in this paper introduces the hybrid system between PV and EV to support industrial and commercial plants. This paper covers the theoretical framework of the proposed hybrid system including the required equation to complete the cost analysis when PV and EV are present. In addition, the proposed design diagram which sets the priorities and requirements of the system is presented. The proposed approach allows setup to advance their power stability, especially during power outages. The presented information supports researchers and plant owners to complete the necessary analysis while promoting the deployment of clean energy. The result of a case study that represents a dairy milk farmer supports the theoretical works and highlights its advanced benefits to existing plants. The short return on investment of the proposed approach supports the paper's novelty approach for the sustainable electrical system. In addition, the proposed system allows for an isolated power setup without the need for a transmission line which enhances the safety of the electrical network
Embedded machine learning-based road conditions and driving behavior monitoringIJECEIAES
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.