Artificial Inteligence: the begining
•
0 likes•189 views
This presentation briefly discusses the following topics: What is Artificial Intelligence ? Aim of AI Need for AI What is intelligence? Objectives of AI research AI research Scope Role of Tools in AI Multi and Cross disciplinary approach Applications of AI
Report
Share
Report
Share
Recommended
Types Of Artificial Intelligence | Edureka
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
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
Castbox: https://castbox.fm/networks/505?country=in
AI
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
Future of AI
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
Artificial intelligence
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
Artificial intelligence
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Artificial Intelligence | Introduction to AI | What is ai?
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.
Artificial intelligence
This document provides an overview of artificial intelligence, including its history, key concepts like neural networks and fuzzy logic, characteristics such as problem solving and learning, applications in fields like finance and medicine, and programming languages commonly used in AI like Lisp and Prolog. While AI has made impressive advances, it has yet to achieve human-level intelligence and abilities like autonomous learning from diverse, real-world experiences. Future progress may require better integration of existing techniques.
Artificial Intelligence
This document provides an overview of artificial intelligence (AI) including its history and key concepts. It discusses how philosophers like Hobbes and mathematicians like Boole laid the foundations for AI by exploring symbolic logic and operations. Landmark developments included Babbage's analytical machine, Turing's universal machine concept, and McCarthy coining the term "artificial intelligence". The document also outlines branches of AI like natural language processing, computer vision, robotics, problem solving, learning, and expert systems. It provides examples of applications and concludes by noting progress made in creating human-like artificial creatures remains limited.
Recommended
Types Of Artificial Intelligence | Edureka
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
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
Castbox: https://castbox.fm/networks/505?country=in
AI
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
Future of AI
This document summarizes an event organized by Pantech Solutions and the Institution of Electronics and Telecommunication (IETE) on the future of artificial intelligence. The event featured several presentations and demos on topics related to AI, including computer vision with deep learning, natural language processing, machine and deep learning, AI applications in various domains like medical, agriculture, autonomous vehicles, and brain-computer interfaces. It also discussed topics like machine learning, deep learning, AI safety concerns, and examples of AI applications in areas like search engines, social media, e-commerce, music and more. The agenda included presentations on object recognition with YOLO, brain enhancement with BCI technology, and a Python AI demo.
Artificial intelligence
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
Artificial intelligence
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
Artificial Intelligence | Introduction to AI | What is ai?
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.
Artificial intelligence
This document provides an overview of artificial intelligence, including its history, key concepts like neural networks and fuzzy logic, characteristics such as problem solving and learning, applications in fields like finance and medicine, and programming languages commonly used in AI like Lisp and Prolog. While AI has made impressive advances, it has yet to achieve human-level intelligence and abilities like autonomous learning from diverse, real-world experiences. Future progress may require better integration of existing techniques.
Artificial Intelligence
This document provides an overview of artificial intelligence (AI) including its history and key concepts. It discusses how philosophers like Hobbes and mathematicians like Boole laid the foundations for AI by exploring symbolic logic and operations. Landmark developments included Babbage's analytical machine, Turing's universal machine concept, and McCarthy coining the term "artificial intelligence". The document also outlines branches of AI like natural language processing, computer vision, robotics, problem solving, learning, and expert systems. It provides examples of applications and concludes by noting progress made in creating human-like artificial creatures remains limited.
artifical intelligence
Artificial intelligence is the field of computer science that deals with creating intelligent machines. It involves giving computers abilities like human intelligence such as understanding language, learning, reasoning and problem solving. The goals of AI are to build systems that exhibit intelligent behavior and to understand intelligence in order to model it. Some applications of AI discussed include smart cars that can recognize speech, provide navigation assistance and warn of hazards, as well as military robots that can operate in combat zones with little human supervision. Advantages of AI include machines being able to do complex, stressful and repetitive work faster than humans while disadvantages are that AI currently lacks human qualities and could potentially replace some human jobs.
Artifical intelligence
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.
Artifical intelligence (a.i)
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
Artificial intelligence
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
9 Examples of Artificial Intelligence in Use Today
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial Intelligence
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.
ARTIFICIAL INTELLIGENCE
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.
KSIT Tech Form - Introduction to artificial intelligence (AI)
The document provides an introduction to artificial intelligence (AI) with the following key points:
1. It defines intelligence as the capacity for logic, understanding, learning, problem solving, and more. AI is defined as computer systems that can perform tasks requiring human intelligence like visual perception and decision-making.
2. There are different types of AI like machine learning, deep learning, supervised learning, unsupervised learning, and reinforcement learning. Machine learning allows systems to learn from data rather than through explicit programming.
3. Deep learning is a type of machine learning inspired by the brain that uses neural networks to learn representations of data. Supervised learning uses labeled input-output data to learn general rules while unsupervised learning
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your...
AI (Artificial Intelligence) is the most powerful technology humans have ever had access to. AI is going to revolutionize the world of business and society at large. In this article, we take a look at this AI revolution.
Artificial intelligence
Artificial Intelligence
The document provides an overview of artificial intelligence, including its definition, history, current status, future possibilities, and challenges. It defines AI as the study of computer systems that attempt to model human intelligence. The history notes Alan Turing's seminal work in the 1950s and the founding of AI at the 1955 Dartmouth workshop by John McCarthy. Currently, AI is used in applications like mobile phones, games, GPS, robotics, and more. The future may include AI assisting in education, media, customer service, transportation, manufacturing, and healthcare. However, challenges remain around issues like data bias, storage needs, and unemployment.
SARANRAJ(AI).pptx
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
Artificial intelligence - An Overview
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial Intelligence
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
Artificial intelligence
Artificial intelligence (AI) is a growing field that aims to make machines intelligent like humans. There are two main types of AI: narrow AI, which focuses on single tasks like driving cars, and general AI, which aims for human-level cognition. The document outlines the history and categories of AI, as well as the knowledge and skills needed to work in the field. It also discusses many applications of AI in business, healthcare, transportation and more. While demand for AI talent is high, there is currently a lack of people with the right skills to work in AI.
Artificial intelligence
Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions
Artificial Intelligence and Machine Learning
The document discusses artificial intelligence and provides an overview of key topics including:
- A brief history of AI beginning with the 1956 Dartmouth conference where the field was first proposed.
- Types of AI such as artificial weak intelligence, artificial hybrid intelligence, and artificial strong intelligence.
- Applications of AI such as computer vision, machine translation, and robotics.
- Progress in deep learning including speech recognition, computer vision, and machine translation.
- Demos of AI services including a cognitive race between AWS and Azure and using an AWS bot with Lex.
Artificial intelligence
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Artifitial intelligence (ai) all in one
Artificial intelligence (AI) all in one presentation consists of almost all concepts of Artificial intelligence. i.e.
Artificial intelligence, Robotics, ANN, NLP, NLU, History of AI, History, Pakistan, basharat jehan, agriculture university peshawar, Forward and Backward Chaining, Grammers in AI, Morphology, Examples of Expert system, Laws of Robotics,Expert system languages, Syntactic Analysis in NLP, Lecture Notes
Artificial intelligence (ai)
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)
Artificial intelligence in software engineering ppt.
The document discusses artificial intelligence and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs. It notes two main approaches to AI: engineering and cognitive modeling. Intelligence is defined as the ability to learn and solve problems, specifically the ability to solve novel problems, act rationally, and act like humans. The document also discusses various applications and techniques in AI, including search algorithms, expert systems, fuzzy logic, robotics, and genetic algorithms.
artificial intelligence in software engineering.pptx
artificial intelligence in software engineering.pptx
More Related Content
What's hot
artifical intelligence
Artificial intelligence is the field of computer science that deals with creating intelligent machines. It involves giving computers abilities like human intelligence such as understanding language, learning, reasoning and problem solving. The goals of AI are to build systems that exhibit intelligent behavior and to understand intelligence in order to model it. Some applications of AI discussed include smart cars that can recognize speech, provide navigation assistance and warn of hazards, as well as military robots that can operate in combat zones with little human supervision. Advantages of AI include machines being able to do complex, stressful and repetitive work faster than humans while disadvantages are that AI currently lacks human qualities and could potentially replace some human jobs.
Artifical intelligence
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.
Artifical intelligence (a.i)
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
Artificial intelligence
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
9 Examples of Artificial Intelligence in Use Today
Artificial Intelligence (AI) is the branch of computer sciences that emphasizes the development of intelligence machines, thinking and working like humans.
Industry analysts argue that artificial intelligence is the future – but if we look around, we are convinced that it’s not the future – it is the present. The given examples will explain the true meaning and context.
Read as a blog post here. http://www.iqvis.com/blog/9-powerful-examples-of-artificial-intelligence-in-use-today/
Artificial Intelligence
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.
ARTIFICIAL INTELLIGENCE
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.
KSIT Tech Form - Introduction to artificial intelligence (AI)
The document provides an introduction to artificial intelligence (AI) with the following key points:
1. It defines intelligence as the capacity for logic, understanding, learning, problem solving, and more. AI is defined as computer systems that can perform tasks requiring human intelligence like visual perception and decision-making.
2. There are different types of AI like machine learning, deep learning, supervised learning, unsupervised learning, and reinforcement learning. Machine learning allows systems to learn from data rather than through explicit programming.
3. Deep learning is a type of machine learning inspired by the brain that uses neural networks to learn representations of data. Supervised learning uses labeled input-output data to learn general rules while unsupervised learning
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your...
AI (Artificial Intelligence) is the most powerful technology humans have ever had access to. AI is going to revolutionize the world of business and society at large. In this article, we take a look at this AI revolution.
Artificial intelligence
Artificial Intelligence
The document provides an overview of artificial intelligence, including its definition, history, current status, future possibilities, and challenges. It defines AI as the study of computer systems that attempt to model human intelligence. The history notes Alan Turing's seminal work in the 1950s and the founding of AI at the 1955 Dartmouth workshop by John McCarthy. Currently, AI is used in applications like mobile phones, games, GPS, robotics, and more. The future may include AI assisting in education, media, customer service, transportation, manufacturing, and healthcare. However, challenges remain around issues like data bias, storage needs, and unemployment.
SARANRAJ(AI).pptx
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
Artificial intelligence - An Overview
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial Intelligence
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
Artificial intelligence
Artificial intelligence (AI) is a growing field that aims to make machines intelligent like humans. There are two main types of AI: narrow AI, which focuses on single tasks like driving cars, and general AI, which aims for human-level cognition. The document outlines the history and categories of AI, as well as the knowledge and skills needed to work in the field. It also discusses many applications of AI in business, healthcare, transportation and more. While demand for AI talent is high, there is currently a lack of people with the right skills to work in AI.
Artificial intelligence
Artificial Intelligence in everyday,Artificial Intelligence capabilities,Artificial Intelligence applications,Artificial Intelligence barriers Artificial Intelligence->Machine Learning->Deep learning,Perceptron, Few questions
Artificial Intelligence and Machine Learning
The document discusses artificial intelligence and provides an overview of key topics including:
- A brief history of AI beginning with the 1956 Dartmouth conference where the field was first proposed.
- Types of AI such as artificial weak intelligence, artificial hybrid intelligence, and artificial strong intelligence.
- Applications of AI such as computer vision, machine translation, and robotics.
- Progress in deep learning including speech recognition, computer vision, and machine translation.
- Demos of AI services including a cognitive race between AWS and Azure and using an AWS bot with Lex.
Artificial intelligence
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Artifitial intelligence (ai) all in one
Artificial intelligence (AI) all in one presentation consists of almost all concepts of Artificial intelligence. i.e.
Artificial intelligence, Robotics, ANN, NLP, NLU, History of AI, History, Pakistan, basharat jehan, agriculture university peshawar, Forward and Backward Chaining, Grammers in AI, Morphology, Examples of Expert system, Laws of Robotics,Expert system languages, Syntactic Analysis in NLP, Lecture Notes
Artificial intelligence (ai)
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)
What's hot (20)
9 Examples of Artificial Intelligence in Use Today
9 Examples of Artificial Intelligence in Use Today
KSIT Tech Form - Introduction to artificial intelligence (AI)
KSIT Tech Form - Introduction to artificial intelligence (AI)
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your...
What Is The Artificial Intelligence Revolution And Why Does It Matter To Your...
Similar to Artificial Inteligence: the begining
Artificial intelligence in software engineering ppt.
The document discusses artificial intelligence and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs. It notes two main approaches to AI: engineering and cognitive modeling. Intelligence is defined as the ability to learn and solve problems, specifically the ability to solve novel problems, act rationally, and act like humans. The document also discusses various applications and techniques in AI, including search algorithms, expert systems, fuzzy logic, robotics, and genetic algorithms.
artificial intelligence in software engineering.pptx
artificial intelligence in software engineering.pptx
EELU AI lecture 1- fall 2022-2023 - Chapter 01- Introduction.ppt
This document provides an overview of the ITF308-Artificial Intelligence course for 2022-2023. The course will cover foundations of symbolic intelligent systems including agents, search, problem solving, learning, knowledge representation, and reasoning. Programming experience in C++ or Java is required. The textbook is Artificial Intelligence: A Modern Approach by Russell and Norvig. Grading will be based on assignments, attendance, quizzes, a midterm, and a final exam. The course aims to understand intelligent behavior and build intelligent agents/systems through topics like search algorithms, knowledge representation, learning, and reasoning.
DakshSemwalcsA38
This document provides an introduction to an online course on artificial intelligence (AI). It discusses that the course is offered through Udacity over 4 months and is instructed by Peter Norvig and Sebastian Thrun. The summary provides an overview of the key topics that will be covered in the course, including machine learning techniques like supervised and unsupervised learning, applications of AI such as computer vision and natural language processing, and how AI is used in areas like video games, music, and intelligent personal assistants.
Artificial intelligence agents and environment
Discusses various definitions of AI, the rational agents, the types of agents along with the concept of environment and the types of environments
ar
The document discusses artificial intelligence and provides details about:
- The goals of AI including deduction, reasoning, problem solving, knowledge representation, planning, natural language processing, motion and manipulation, perception, and social intelligence.
- The history and origins of AI research dating back to the 1950s.
- Popular AI programming languages like Lisp and how it is well suited for knowledge representation.
- Categories of AI approaches including conventional symbolic AI and computational intelligence methods.
- Applications of AI in fields like medicine, industry, games, speech recognition, natural language understanding, computer vision, and expert systems.
fundamental of Artificial Intelligence.pdf
"Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, including learning, reasoning, and problem-solving."
Artificial intelligence (1)
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.
Fundamental Areas Of Study In Data Science.pdf
Data Science is a broad term that encompasses multiple disciplines. It is a rapidly growing field of study that uses scientific methods to extract meaningful insights from given input data. The rapid growth in the field of data science has opened the eyes of researchers interested in this field to explore more into the multiple disciplines that encompass data science.
Let's see a few of these broad areas that are fundamental aspects to be covered for mastering Data science.
Artificial intelligence
Artificial intelligence (AI) is a broad field that combines computer science, psychology, and philosophy with the goal of creating machines that can think like humans. AI aims to develop intelligent agents that can perceive their environment and take actions to maximize their success. The main fields of AI include machine vision, expert systems, and creating machines that can think rationally or act like humans. The goals of AI include solving complex problems, enhancing human and computer interactions, and developing the theory and practice of building intelligent machines.
Introduction to artificial intelligence
The document provides an introduction to artificial intelligence (AI). It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses what intelligence is, including the ability to learn and solve problems, act rationally, and act like humans. It also covers what is involved in intelligence, such as interacting with the real world, reasoning and planning, and learning and adaptation. The document discusses production systems, components of production systems, characteristics of production systems, and types of production systems. It also covers the evolution of AI from neural networks to machine learning to deep learning. Finally, it discusses applications and the future of AI.
Artificial intelligence and its application
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
Latest technologies in computer system AI(Artificial Intelligence) Knowledg...
The document discusses various topics related to technology including artificial intelligence and knowledge management. It provides an overview of AI including definitions, the history of AI, applications such as game playing and robotics, and types of AI like expert systems and neural networks. Knowledge management is also summarized as capturing, developing, sharing, and using organizational knowledge effectively. Additionally, a wiki is defined as a server program that allows users to collaborate in forming website content.
Unit 1 ai
This document provides an introduction to artificial intelligence including definitions, intelligence, the need for AI, applications of AI, and motivation. It defines AI as the study and design of machines that can perform tasks requiring human intelligence. Intelligence involves abilities like reasoning, learning, problem solving and perception. The need for AI is to create expert systems that exhibit intelligent behavior and solve complex problems like humans. Applications of AI include expert systems, game playing, natural language processing, computer vision, speech recognition and intelligent robots. The motivation for researchers is to develop systems that can match or exceed human intelligence.
Artificial intel
Artificial intelligence is the area of computer science focused on creating intelligent machines. The document discusses the history and branches of AI. It provides examples of early successes in games like chess. It also discusses the knowledge needed to learn AI, such as mathematics and programming languages. Finally, it outlines several applications of AI in fields like medicine, transportation, and games.
AI_01_introduction.pptx
This document provides an introduction to an artificial intelligence lecture. It begins with basic information about the course including references, grading, and contact information. It then outlines the topics to be covered which include definitions of intelligence and AI, a brief history of AI, and the main subfields of AI. The document discusses several approaches to AI including thinking humanly by passing the Turing test, thinking rationally using logic, and acting rationally as an intelligent agent. It also reviews the foundations of AI from various contributing fields and provides examples of AI in everyday life.
Artificial intelligence
The document provides an overview of artificial intelligence (AI), including its history, how it works, branches of AI such as ontology, heuristics, genetic programming and epistemology, goals of AI, and uses of AI. It discusses how AI was founded in 1956 and aims to make computers intelligent like humans by applying knowledge through scientific theorems and neural networks. The goals of AI include solving knowledge-intensive tasks, replicating human intelligence, and enhancing human and computer interactions. AI has applications in various fields such as finance, healthcare, transportation, gaming and more.
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - Phdassistance
Imagine a world where knowledge isn’t limited to humans!!! A world in which computers will think and collaborate with humans to create a more exciting universe. Although this future is still a long way off, Artificial Intelligence has made significant progress in recent years. In almost every area of AI, such as quantum computing, healthcare, autonomous vehicles, the internet of things, robotics, and so on, there is a lot of research going on. So much so that the number of annual Published Research Papers on Artificial Intelligence has increased by 90% since 1996.
Ph.D. Assistance serves as an external mentor to brainstorm your idea and translate that into a research model. Hiring a mentor or tutor is common and therefore let your research committee know about the same. We do not offer any writing services without the involvement of the researcher.
Learn More: https://bit.ly/2Sdlfn4
Contact Us:
Website: https://www.phdassistance.com/
UK NO: +44–1143520021
India No: +91–4448137070
WhatsApp No: +91 91769 66446
Email: info@phdassistance.com
Ai notes
The Foundations of Artificial Intelligence, The History of
Artificial Intelligence, and the State of the Art. Intelligent Agents: Introduction, How Agents
should Act, Structure of Intelligent Agents, Environments. Solving Problems by Searching:
problem-solving Agents, Formulating problems, Example problems, and searching for Solutions,
Search Strategies, Avoiding Repeated States, and Constraint Satisfaction Search. Informed
Search Methods: Best-First Search, Heuristic Functions, Memory Bounded Search, and Iterative
Improvement Algorithms.
Machine Learning, Artificial General Intelligence, and Robots with Human Minds
Machine Learning, Artificial General Intelligence, and Robots with Human MindsUniversity of Huddersfield
The document discusses different types of artificial intelligence and outlines a new project to install the ACT-R cognitive architecture onto a NAO robot to create a robot with human-level general intelligence and flexible goal-directed behavior through embodied cognition, perception, motor skills, communication, learning and adaptation. The goal is to gain insights into building advanced autonomous agents by modeling key aspects of human cognition and intelligence.Similar to Artificial Inteligence: the begining (20)
Artificial intelligence in software engineering ppt.
Artificial intelligence in software engineering ppt.
artificial intelligence in software engineering.pptx
artificial intelligence in software engineering.pptx
EELU AI lecture 1- fall 2022-2023 - Chapter 01- Introduction.ppt
EELU AI lecture 1- fall 2022-2023 - Chapter 01- Introduction.ppt
Latest technologies in computer system AI(Artificial Intelligence) Knowledg...
Latest technologies in computer system AI(Artificial Intelligence) Knowledg...
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - Phdassistance
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - Phdassistance
Machine Learning, Artificial General Intelligence, and Robots with Human Minds
Machine Learning, Artificial General Intelligence, and Robots with Human Minds
More from Dr. C.V. Suresh Babu
Data analytics with R
This presentation discusses the following topics:
Basic features of R
Exploring R GUI
Data Frames & Lists
Handling Data in R Workspace
Reading Data Sets & Exporting Data from R
Manipulating & Processing Data in R
Association rules
Association rule mining is used to find relationships between items in transaction data. It identifies rules that can predict the occurrence of an item based on other items purchased together frequently. Some key metrics used to evaluate rules include support, which measures how frequently an itemset occurs; confidence, which measures how often items in the predicted set occur given items in the predictor set; and lift, which compares the confidence to expected confidence if items were independent. An example association rule evaluated is {Milk, Diaper} -> {Beer} with support of 0.4, confidence of 0.67, and lift of 1.11.
Clustering
This document discusses clustering, which is the task of grouping data points into clusters so that points within the same cluster are more similar to each other than points in other clusters. It describes different types of clustering methods, including density-based, hierarchical, partitioning, and grid-based methods. It provides examples of specific clustering algorithms like K-means, DBSCAN, and discusses applications of clustering in fields like marketing, biology, libraries, insurance, city planning, and earthquake studies.
Classification
Classification is a data analysis technique used to predict class membership for new observations based on a training set of previously labeled examples. It involves building a classification model during a training phase using an algorithm, then testing the model on new data to estimate accuracy. Some common classification algorithms include decision trees, Bayesian networks, neural networks, and support vector machines. Classification has applications in domains like medicine, retail, and entertainment.
Blue property assumptions.
The document discusses the assumptions and properties of ordinary least squares (OLS) estimators in linear regression analysis. It notes that OLS estimators are best linear unbiased estimators (BLUE) if the assumptions of the linear regression model are met. Specifically, it assumes errors have zero mean and constant variance, are uncorrelated, and are normally distributed. Violation of the assumption of constant variance is known as heteroscedasticity. The document outlines how heteroscedasticity impacts the properties of OLS estimators and their use in applications like econometrics.
Introduction to regression
This document provides an introduction to regression analysis. It discusses that regression analysis investigates the relationship between dependent and independent variables to model and analyze data. The document outlines different types of regressions including linear, polynomial, stepwise, ridge, lasso, and elastic net regressions. It explains that regression analysis is used for predictive modeling, forecasting, and determining the impact of variables. The benefits of regression analysis are that it indicates significant relationships and the strength of impact between variables.
DART
This presentation briefly discusses about DART (Diagnostic Assistance Reference Tool) in Expert Systems
Mycin
MYCIN was an early expert system developed at Stanford University in 1972 to assist physicians in diagnosing and selecting treatment for bacterial and blood infections. It used over 600 production rules encoding the clinical decision criteria of infectious disease experts to diagnose patients based on reported symptoms and test results. While it could not replace human diagnosis due to computing limitations at the time, MYCIN demonstrated that expert knowledge could be represented computationally and established a foundation for more advanced machine learning and knowledge base systems.
Expert systems
The document discusses expert systems, which are computer applications that solve complex problems at a human expert level. It describes the characteristics and capabilities of expert systems, why they are useful, and their key components - knowledge base, inference engine, and user interface. The document also outlines common applications of expert systems and the general development process.
Dempster shafer theory
The Dempster-Shafer Theory was developed by Arthur Dempster in 1967 and Glenn Shafer in 1976 as an alternative to Bayesian probability. It allows one to combine evidence from different sources and obtain a degree of belief (or probability) for some event. The theory uses belief functions and plausibility functions to represent degrees of belief for various hypotheses given certain evidence. It was developed to describe ignorance and consider all possible outcomes, unlike Bayesian probability which only considers single evidence. An example is given of using the theory to determine the murderer in a room with 4 people where the lights went out.
Bayes network
A Bayesian network is a probabilistic graphical model that represents conditional dependencies among random variables using a directed acyclic graph. It consists of nodes representing variables and directed edges representing causal relationships. Each node contains a conditional probability table that quantifies the effect of its parent nodes on that variable. Bayesian networks can be used to calculate the probability of events occurring based on the network structure and conditional probability tables, such as computing the probability of an alarm sounding given that no burglary or earthquake occurred but two neighbors called.
Bayes' theorem
This presentation gives a brief introduction about Bayes' Theorem and its applications in Artificial intelligence
Knowledge based agents
This document discusses knowledge-based agents in artificial intelligence. It defines knowledge-based agents as agents that maintain an internal state of knowledge, reason over that knowledge, update their knowledge based on observations, and take actions. Knowledge-based agents have two main components: a knowledge base that stores facts about the world, and an inference system that applies logical rules to deduce new information from the knowledge base. The document also describes the architecture of knowledge-based agents and different approaches to designing them.
Rule based system
A rule-based system uses predefined rules to make logical deductions and choices to perform automated actions. It consists of a database of rules representing knowledge, a database of facts as inputs, and an inference engine that controls the process of deriving conclusions by applying rules to facts. A rule-based system mimics human decision making by applying rules in an "if-then" format to incoming data to perform actions, but unlike AI it does not learn or adapt on its own.
Formal Logic in AI
This document discusses formal logic and its applications in AI and machine learning. It begins by explaining why logic is useful in complex domains or with little data. It then describes logic-based approaches to AI that use symbolic reasoning as an alternative to machine learning. The document proceeds to explain propositional logic and first-order logic, noting how first-order logic improves on propositional logic by allowing variables. It also mentions other logics and their applications in areas like automated discovery, inductive programming, and verification of computer systems and machine learning models.
Production based system
The document discusses production systems, which are rule-based systems used in artificial intelligence to model intelligent behavior. A production system consists of a global database, set of production rules, and control system. The rules fire to modify the database based on conditions. Different control strategies are used to determine which rules fire. Production systems are modular and allow knowledge representation as condition-action rules. Examples of applications in problem solving are provided.
Game playing in AI
The document discusses game playing in artificial intelligence. It describes how general game playing (GGP) involves designing AI that can play multiple games by learning the rules, rather than being programmed for a specific game. The document outlines how the minimax algorithm is commonly used for game playing, involving move generation and static evaluation functions to search game trees and determine the best move by maximizing or minimizing values at each level.
Diagnosis test of diabetics and hypertension by AI
A study on “Diagnosis Test of Diabetics and Hypertension by AI”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “Impact of Artificial Intelligence in COVID-19 Diagnosis”, Presentation slides for International Conference on "Life Sciences: Acceptance of the New Normal", St. Aloysius' College, Jabalpur, Madhya Pradesh, India, 27-28 August, 2021
A study on “impact of artificial intelligence in covid19 diagnosis”
Although the lungs are one of the most vital organs in the body, they are vulnerable to infection and injury. COVID-19 has put the entire world in an unprecedented difficult situation, bringing life to a halt and claiming thousands of lives all across the world. Medical imaging, such as X-rays and computed tomography (CT), is essential in the global fight against COVID-19, and newly emerging artificial intelligence (AI) technologies are boosting the power of imaging tools and assisting medical specialists. AI can improve job efficiency by precisely identifying infections in X-ray and CT images and allowing further measurement. We focus on the integration of AI with X-ray and CT, both of which are routinely used in frontline hospitals, to reflect the most recent progress in medical imaging and radiology combating COVID-19.
More from Dr. C.V. Suresh Babu (20)
Diagnosis test of diabetics and hypertension by AI
Diagnosis test of diabetics and hypertension by AI
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
A study on “impact of artificial intelligence in covid19 diagnosis”
Recently uploaded
Securing your Kubernetes cluster_ a step-by-step guide to success !
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
ここ3000字までしか入らないけどタイトルの方がたくさん文字入ると思います。
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
Essentials of Automations: The Art of Triggers and Actions in FME
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Mind map of terminologies used in context of Generative AI
Mind map of common terms used in context of Generative AI.
Pushing the limits of ePRTC: 100ns holdover for 100 days
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
20 Comprehensive Checklist of Designing and Developing a Website
Dive into the world of Website Designing and Developing with Pixlogix! Looking to create a stunning online presence? Look no further! Our comprehensive checklist covers everything you need to know to craft a website that stands out. From user-friendly design to seamless functionality, we've got you covered. Don't miss out on this invaluable resource! Check out our checklist now at Pixlogix and start your journey towards a captivating online presence today.
Full-RAG: A modern architecture for hyper-personalization
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
20240605 QFM017 Machine Intelligence Reading List May 2024
Everything I found interesting about machines behaving intelligently during May 2024
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Join us to introduce Milvus Lite, a vector database that can run on notebooks and laptops, share the same API with Milvus, and integrate with every popular GenAI framework. This webinar is perfect for developers seeking easy-to-use, well-integrated vector databases for their GenAI apps.
Building RAG with self-deployed Milvus vector database and Snowpark Container...
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
National Security Agency - NSA mobile device best practices
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
UiPath Test Automation using UiPath Test Suite series, part 6
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
Recently uploaded (20)
Securing your Kubernetes cluster_ a step-by-step guide to success !
Securing your Kubernetes cluster_ a step-by-step guide to success !
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
みなさんこんにちはこれ何文字まで入るの？40文字以下不可とか本当に意味わからないけどこれ限界文字数書いてないからマジでやばい文字数いけるんじゃないの？えこ...
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024
Essentials of Automations: The Art of Triggers and Actions in FME
Essentials of Automations: The Art of Triggers and Actions in FME
Monitoring Java Application Security with JDK Tools and JFR Events
Monitoring Java Application Security with JDK Tools and JFR Events
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!
Mind map of terminologies used in context of Generative AI
Mind map of terminologies used in context of Generative AI
Pushing the limits of ePRTC: 100ns holdover for 100 days
Pushing the limits of ePRTC: 100ns holdover for 100 days
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
GraphSummit Singapore | Graphing Success: Revolutionising Organisational Stru...
20 Comprehensive Checklist of Designing and Developing a Website
20 Comprehensive Checklist of Designing and Developing a Website
Full-RAG: A modern architecture for hyper-personalization
Full-RAG: A modern architecture for hyper-personalization
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...
20240605 QFM017 Machine Intelligence Reading List May 2024
20240605 QFM017 Machine Intelligence Reading List May 2024
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Introducing Milvus Lite: Easy-to-Install, Easy-to-Use vector database for you...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
Building RAG with self-deployed Milvus vector database and Snowpark Container...
National Security Agency - NSA mobile device best practices
National Security Agency - NSA mobile device best practices
UiPath Test Automation using UiPath Test Suite series, part 6
UiPath Test Automation using UiPath Test Suite series, part 6
A tale of scale & speed: How the US Navy is enabling software delivery from l...
A tale of scale & speed: How the US Navy is enabling software delivery from l...
Artificial Inteligence: the begining
- 2. (CentreforKnowledgeTransfer) institute Course objective What is Artificial Intelligence ? Aim of AI Need for AI What is intelligence? Objectives of AI research AI research Scope Role of Tools in AI Multi and Cross disciplinary approach Applications of AI
- 3. (CentreforKnowledgeTransfer) institute John McCarthy “The science and engineering of making intelligent machines, especially intelligent computer programs”.
- 4. (CentreforKnowledgeTransfer) institute What is Artificial Intelligence ? Artificial Intelligence is an approach to make a computer, a robot, or a product to think how smart human think. AI is a study of how human brain think, learn, decide and work, when it tries to solve problems. And finally this study outputs intelligent software systems.
- 5. (CentreforKnowledgeTransfer) institute Aim of AI The aim of AI is to improve computer functions which are related to human knowledge, for example, reasoning, learning, and problem-solving.
- 6. (CentreforKnowledgeTransfer) institute Need for AI AI automates repetitive learning and discovery through data. AI adds intelligence to existing products AI adapts through progressive learning algorithms to let the data do the programming. AI analyzes more and deeper data using neural networks that have many hidden layers. AI achieves incredible accuracy through deep neural networks AI gets the most out of data
- 7. (CentreforKnowledgeTransfer) institute What is intelligence? The intelligence is intangible. It is composed of Reasoning Learning Problem Solving Perception Linguistic Intelligence
- 8. (CentreforKnowledgeTransfer) institute Objectives of AI research The objectives of AI research are reasoning, knowledge representation, planning, learning, natural language processing, realization, and ability to move and manipulate objects. There are long-term goals in the general intelligence sector.
- 9. (CentreforKnowledgeTransfer) institute AI research Scope Approaches include statistical methods, computational intelligence, and traditional coding AI.
- 10. (CentreforKnowledgeTransfer) institute Role of Tools in AI During the AI research related to search and mathematical optimization, artificial neural networks And methods based on statistics, probability, and economics, we use many tools.
- 11. (CentreforKnowledgeTransfer) institute Multi and Cross disciplinary approach Computer science attracts AI in the field of science, mathematics, psychology, linguistics, philosophy and so on.
- 12. (CentreforKnowledgeTransfer) institute Applications of AI Gaming AI plays important role for machine to think of large number of possible positions based on deep knowledge in strategic games. for example, chess, river crossing, N-queens problems and etc.
- 13. (CentreforKnowledgeTransfer) institute Applications of AI Natural Language Processing Interact with the computer that understands natural language spoken by humans.
- 14. (CentreforKnowledgeTransfer) institute Applications of AI Expert Systems Machine or software provide explanation and advice to the users.
- 15. (CentreforKnowledgeTransfer) institute Applications of AI Vision Systems Systems understand, explain, and describe visual input on the computer
- 16. (CentreforKnowledgeTransfer) institute Applications of AI Speech Recognition There are some AI based speech recognition systems have ability to hear and express as sentences and understand their meanings while a person talks to it. For example Siri and Google assistant.
- 17. (CentreforKnowledgeTransfer) institute Applications of AI Handwriting Recognition The handwriting recognition software reads the text written on paper and recognize the shapes of the letters and convert it into editable text.
- 18. (CentreforKnowledgeTransfer) institute Applications of AI Intelligent Robots Robots are able to perform the instructions given by a human.