This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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 (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
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 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.
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.
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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 (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
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 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.
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.
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
This presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
Artificial intelligence is the study of how to create intelligent machines and programs that can solve complex problems, learn from experience, and take actions that maximize their chances of success. There are two main approaches to AI: engineering, which focuses on building intelligent systems, and cognitive modeling, which aims to understand and emulate human intelligence. AI has many applications including game playing, handwriting recognition, speech recognition, human-computer interaction, navigation, computer vision, expert systems, and web search tools. Some notable achievements of AI include Deep Blue defeating Garry Kasparov at chess in 1997 and AI programs proving mathematical conjections and controlling logistics during the Gulf War.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
Introduction to artificial intelligenceRajkumarVara
This document provides an overview of artificial intelligence, including its history, creators, types, and current applications. It defines AI as concerned with building intelligent machines that can perform human tasks. The modern history of AI began in 1956 when John McCarthy proposed the term. Alan Turing invented the Turing machine in the 1940s. There are three main types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. Currently, AI is used in applications like chatbots, healthcare, data security, social media, and Tesla's self-driving cars. The document concludes that while AI is not yet as intelligent as depicted in films, its development will significantly change the world.
Artificial intelligence (AI) is the ability of computers and machines to think and learn. The document discusses different types of AI including strong AI which can think like humans and weak AI which responds to specific situations. The history of AI began in the 1950s with Alan Turing's work and the 1956 Dartmouth Conference where the term "artificial intelligence" was coined. Current applications of AI include mobile phones, games, GPS, robots and personal assistants. The future of AI may include military robots, self-driving cars, improved healthcare, and smart homes. While AI provides benefits like accuracy and space exploration, concerns include costs, lack of human touch, and potential job losses. Strong skills in math, programming, and machine learning
This document provides an overview of artificial intelligence (AI) and its future. It defines AI as making intelligent machines and outlines its history from Alan Turing's work in the 1950s to modern applications like voice assistants. The document also discusses benefits of AI like home automation and advancements in transportation and search. However, it notes risks such as unemployment and autonomous war machines turning against humans. It concludes that AI is increasingly integrated into technology and daily life and will continue expanding, possibly resulting in super intelligent systems available across many areas.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
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.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
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
This document discusses artificial intelligence and robotics. It begins with definitions of AI from early researchers like John McCarthy and Alan Turing. It then discusses the history and development of AI, including important figures and programming languages. Applications of robotics are outlined in various fields like industrial uses, medical care, and entertainment. The document also explores how AI works with robots through natural language processing. It concludes by discussing the future of AI and warnings about potential issues that may arise from advanced AI systems.
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.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
Artificial intelligence is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.
This document provides an overview of artificial intelligence, including its history, importance, applications, and future. It discusses topics such as expert systems, robotics, game playing, medicine, natural language processing, pattern recognition, and the Turing test. Applications of AI mentioned include cognitive science, visual perception, navigation, speech recognition, and machine translation. The future of AI is discussed in areas like personal robots and other innovations enabled by advancing technologies behind pattern recognition and natural language processing.
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 is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing explored whether machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Today, AI is used widely in digital assistants, self-driving cars, medical diagnosis, and more. However, it still faces challenges such as matching human intuitive thinking and common sense. The future of AI is promising but uncertain, as it could revolutionize many fields while also disrupting the workforce and potentially becoming too independent from human values.
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
Artificial intelligence is the study of how to create intelligent machines and programs that can solve complex problems, learn from experience, and take actions that maximize their chances of success. There are two main approaches to AI: engineering, which focuses on building intelligent systems, and cognitive modeling, which aims to understand and emulate human intelligence. AI has many applications including game playing, handwriting recognition, speech recognition, human-computer interaction, navigation, computer vision, expert systems, and web search tools. Some notable achievements of AI include Deep Blue defeating Garry Kasparov at chess in 1997 and AI programs proving mathematical conjections and controlling logistics during the Gulf War.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
Introduction to artificial intelligenceRajkumarVara
This document provides an overview of artificial intelligence, including its history, creators, types, and current applications. It defines AI as concerned with building intelligent machines that can perform human tasks. The modern history of AI began in 1956 when John McCarthy proposed the term. Alan Turing invented the Turing machine in the 1940s. There are three main types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. Currently, AI is used in applications like chatbots, healthcare, data security, social media, and Tesla's self-driving cars. The document concludes that while AI is not yet as intelligent as depicted in films, its development will significantly change the world.
Artificial intelligence (AI) is the ability of computers and machines to think and learn. The document discusses different types of AI including strong AI which can think like humans and weak AI which responds to specific situations. The history of AI began in the 1950s with Alan Turing's work and the 1956 Dartmouth Conference where the term "artificial intelligence" was coined. Current applications of AI include mobile phones, games, GPS, robots and personal assistants. The future of AI may include military robots, self-driving cars, improved healthcare, and smart homes. While AI provides benefits like accuracy and space exploration, concerns include costs, lack of human touch, and potential job losses. Strong skills in math, programming, and machine learning
This document provides an overview of artificial intelligence (AI) and its future. It defines AI as making intelligent machines and outlines its history from Alan Turing's work in the 1950s to modern applications like voice assistants. The document also discusses benefits of AI like home automation and advancements in transportation and search. However, it notes risks such as unemployment and autonomous war machines turning against humans. It concludes that AI is increasingly integrated into technology and daily life and will continue expanding, possibly resulting in super intelligent systems available across many areas.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.
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.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
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
This document discusses artificial intelligence and robotics. It begins with definitions of AI from early researchers like John McCarthy and Alan Turing. It then discusses the history and development of AI, including important figures and programming languages. Applications of robotics are outlined in various fields like industrial uses, medical care, and entertainment. The document also explores how AI works with robots through natural language processing. It concludes by discussing the future of AI and warnings about potential issues that may arise from advanced AI systems.
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.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
Know Everything About Artificial Intelligence
AI involves machine learning, deep learning and many other programmable capabilities.
Let’s know all about the AI.
What is AI:
AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways.
AI can be seen at:
1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them.
2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions.
3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive.
4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine.
How safe are they:
• Artificial intelligence right now don’t have ability to make truly independent decisions
• They can’t do anything beyond the instructions provided to them
• But, the predictions through AI can be inaccurate & that can be dangerous
Future of AI:
• We can see the rapid adoption of AI tricks in every field of tech.
• Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable.
• There are various apps & softwares that can be improved with the help of AI
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
Artificial intelligence is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.
This document provides an overview of artificial intelligence, including its history, importance, applications, and future. It discusses topics such as expert systems, robotics, game playing, medicine, natural language processing, pattern recognition, and the Turing test. Applications of AI mentioned include cognitive science, visual perception, navigation, speech recognition, and machine translation. The future of AI is discussed in areas like personal robots and other innovations enabled by advancing technologies behind pattern recognition and natural language processing.
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 is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing explored whether machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Today, AI is used widely in digital assistants, self-driving cars, medical diagnosis, and more. However, it still faces challenges such as matching human intuitive thinking and common sense. The future of AI is promising but uncertain, as it could revolutionize many fields while also disrupting the workforce and potentially becoming too independent from human values.
Artificial intelligence (AI) is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing asked if machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Current AI includes intelligent digital assistants, self-driving cars, and medical applications. Challenges remain around computing power, intuitive thinking, and judging ability. The future of AI may include improved transportation, healthcare, and exploration through precision and reduced costs, though risks include unemployment and over-reliance on machines.
This document provides an overview of artificial intelligence (AI), including its history, applications, and types. It discusses early milestones in AI development as well as modern advances in deep learning, big data, and efforts to create artificial general intelligence. The document also examines what comprises AI and how intelligent agents are structured, defined in terms of their perception, environment, actuators, and sensors (PEAS). It explores rational agents and the Turing test as a way to evaluate machine intelligence.
This Presentation talks about AI technology and elaborates, how we are already surrounded by this. it also talks about what are the pros and cons of this technology.
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and more. Challenges for AI include computing power, intuitive thinking, and judging ability. The future of AI is predicted to include self-driving cars, medical advances, and exploration. Pros are precision and repetitive tasks while cons include costs, lack of creativity, and potential job losses or human dependence on machines. The conclusion restates that AI aims to create machine intelligence through designing intelligent agents.
New Seminar 1674884334777445774322235.pdfAlokPradhan59
Artificial intelligence (AI) is defined as computer systems that attempt to model human intelligence. The document discusses the early history of AI from Alan Turing's 1950 paper asking if machines can think to John McCarthy coining the term "artificial intelligence" in 1956. Current applications of AI include digital assistants like Siri, advances in machine learning and deep learning, and uses in areas like self-driving cars, medical diagnosis, and space exploration. Challenges for AI include computing power, intuitive thinking, and judging ability. The future of AI is promising but also presents risks if not developed responsibly.
Artificial intelligence (AI) is defined and its early history is discussed. Current applications of AI include digital assistants (Siri, Cortana), robotics, and machine learning used by Google. Challenges to AI include computing power, intuitive thinking, and judging ability. The future of AI is predicted to include self-driving cars, improved healthcare, and space exploration. Both pros and cons of AI are provided, such as precision but lack of creativity, and unemployment but ability to do repetitive tasks.
Artificial Intelligence - Forwarded by Jeff CampauJeff Campau
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document also covers challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided such as precision and costs/unemployment. The conclusion restates that AI aims to create machine intelligence.
Power Point Presentation on Artificial Intelligence Anushka Ghosh
Its a Power Point Presentation on Artificial Intelligence.I hope you will find this helpful. Thank you.
You can also find out my another PPT on Artificial Intelligence.The link is given below--
https://www.slideshare.net/AnushkaGhosh5/ppt-presentation-on-artificial-intelligence
Anushka Ghosh
This document provides an introduction to artificial intelligence, including definitions and explanations of key concepts. It defines AI as making computers behave like humans through techniques like machine learning, reasoning, and problem solving. It then discusses narrow AI which focuses on specific tasks, general AI that can understand any intellectual task, and super AI that surpasses human intelligence. The document also covers reactive machines, limited memory AI, and the theory of mind approach. The overall summary is that the document serves as an introductory overview of the basics of artificial intelligence.
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document outlines challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided, such as precision but lack of human touch. The conclusion restates that AI aims to create machine intelligence.
AI 838686868686892868255383432434356.pptxChetanRaut43
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document outlines challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided, such as precision but lack of human touch. The conclusion restates that AI aims to create machine intelligence.
This document provides an introduction to artificial intelligence (AI). It defines AI as the simulation of human intelligence by machines, especially computer systems. It discusses the main categories of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines some current and future applications of AI, such as virtual personal assistants, self-driving cars, agriculture, and more. Finally, it discusses roles and career domains related to the field of AI.
Artificial intelligence has a long history dating back to ancient Greece. Significant early work was done by Alan Turing in the 1930s. The term "artificial intelligence" was coined by John McCarthy in 1956. Today, AI is used for driverless cars, automated assembly lines, surgical robots, and next-generation traffic control systems. The future of AI depends on whether strong human-level AI can be achieved, but challenges remain around fully understanding human intelligence and thought processes.
Artificial intelligence has a long history dating back to ancient Greece. Significant early work was done by Alan Turing in the 1930s. The term "artificial intelligence" was coined by John McCarthy in 1956. Today, AI is used for driverless cars, automated assembly lines, surgical robots, and next-generation traffic control. The future of AI depends on whether strong human-level AI can be achieved, but challenges remain around understanding human-level intelligence and consciousness.
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
How information systems are built or acquired puts information, which is what they should be about, in a secondary place. Our language adapted accordingly, and we no longer talk about information systems but applications. Applications evolved in a way to break data into diverse fragments, tightly coupled with applications and expensive to integrate. The result is technical debt, which is re-paid by taking even bigger "loans", resulting in an ever-increasing technical debt. Software engineering and procurement practices work in sync with market forces to maintain this trend. This talk demonstrates how natural this situation is. The question is: can something be done to reverse the trend?
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
The Department of Veteran Affairs (VA) invited Taylor Paschal, Knowledge & Information Management Consultant at Enterprise Knowledge, to speak at a Knowledge Management Lunch and Learn hosted on June 12, 2024. All Office of Administration staff were invited to attend and received professional development credit for participating in the voluntary event.
The objectives of the Lunch and Learn presentation were to:
- Review what KM ‘is’ and ‘isn’t’
- Understand the value of KM and the benefits of engaging
- Define and reflect on your “what’s in it for me?”
- Share actionable ways you can participate in Knowledge - - Capture & Transfer
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Discover top-tier mobile app development services, offering innovative solutions for iOS and Android. Enhance your business with custom, user-friendly mobile applications.
Session 1 - Intro to Robotic Process Automation.pdfUiPathCommunity
👉 Check out our full 'Africa Series - Automation Student Developers (EN)' page to register for the full program:
https://bit.ly/Automation_Student_Kickstart
In this session, we shall introduce you to the world of automation, the UiPath Platform, and guide you on how to install and setup UiPath Studio on your Windows PC.
📕 Detailed agenda:
What is RPA? Benefits of RPA?
RPA Applications
The UiPath End-to-End Automation Platform
UiPath Studio CE Installation and Setup
💻 Extra training through UiPath Academy:
Introduction to Automation
UiPath Business Automation Platform
Explore automation development with UiPath Studio
👉 Register here for our upcoming Session 2 on June 20: Introduction to UiPath Studio Fundamentals: https://community.uipath.com/events/details/uipath-lagos-presents-session-2-introduction-to-uipath-studio-fundamentals/
"Scaling RAG Applications to serve millions of users", Kevin GoedeckeFwdays
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
High performance Serverless Java on AWS- GoTo Amsterdam 2024Vadym Kazulkin
Java is for many years one of the most popular programming languages, but it used to have hard times in the Serverless community. Java is known for its high cold start times and high memory footprint, comparing to other programming languages like Node.js and Python. In this talk I'll look at the general best practices and techniques we can use to decrease memory consumption, cold start times for Java Serverless development on AWS including GraalVM (Native Image) and AWS own offering SnapStart based on Firecracker microVM snapshot and restore and CRaC (Coordinated Restore at Checkpoint) runtime hooks. I'll also provide a lot of benchmarking on Lambda functions trying out various deployment package sizes, Lambda memory settings, Java compilation options and HTTP (a)synchronous clients and measure their impact on cold and warm start times.
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
AppSec PNW: Android and iOS Application Security with MobSFAjin Abraham
Mobile Security Framework - MobSF is a free and open source automated mobile application security testing environment designed to help security engineers, researchers, developers, and penetration testers to identify security vulnerabilities, malicious behaviours and privacy concerns in mobile applications using static and dynamic analysis. It supports all the popular mobile application binaries and source code formats built for Android and iOS devices. In addition to automated security assessment, it also offers an interactive testing environment to build and execute scenario based test/fuzz cases against the application.
This talk covers:
Using MobSF for static analysis of mobile applications.
Interactive dynamic security assessment of Android and iOS applications.
Solving Mobile app CTF challenges.
Reverse engineering and runtime analysis of Mobile malware.
How to shift left and integrate MobSF/mobsfscan SAST and DAST in your build pipeline.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
2. What Is Artificial Intelligence ?
• Artificial Intelligence is a way
of making a computer, a
computer-controlled robot, or a
software think intelligently, in
the similar manner the
intelligent humans think.
• Some scientists Say It’s
Putting the Human Mind In the
Computer
3. History Of Artificial intelligence
• The term "artificial
intelligence" was first used by
John McCarthy in DARMOUTH
CONFERENCE.
• In the early 1980s, AI
research was revived by the
commercial success of expert
systems.
• In the late 1990s and early
21st century, AI began to be
used for logistics, data mining ,
medical diagnosis and other
areas.
4. Applications Of Artificial Intelligence
• autonomous vehicles (such as drones and self-driving cars)
• medical diagnosis
• creating art (such as poetry)
• proving mathemetical theorems
• playing games (such as Chess)
• search engines (such as Google search)
• online assistants (such as Siri)
• image recognition in photographs
• spam filtering
• targeting online advertisements
• Telecommunications maintenance
• Online and telephone customer service
5. Pros Of Artificial Intelligence
• Chances of error are almost nil and
greater precision and accuracy is
achieved.
• Robots can do certain laborious
tasks.
• Fraud detection in smart card-based
systems is possible with the use of AI.
• Machines do not require sleep or
breaks, and are able to function
without stopping.
6. Cons Of Artificial Intelligence
• Machines lack a creative mind.
• Lack the human touch.
• If robots begin to replace humans in
every field, it will eventually lead to
unemployment
• Multitasking abilities of humans may
diminish.
• If the control of machines goes in the
wrong hands, it may cause destruction.
7. Future Of Artificial Intelligence
• Future of AI is really unknown
• Most jobs will be done by
robots within 30 years, says
professor Moshe Vardi of rice
university , Texas(USA)
• It can make humans extinct or
immortal
• The optimists hope that we'll one
day invent a superintelligence that
solves every problem we can
imagine.