מצגת העשר לילדים ביסודי
מה היא בינה מלאכותית
מה זה מבחן טורינג
דוגמאות לבינה מלאכותית - שחמט, טריוויה, מכוניות אוטונומיות, טלפונים חכמים, רובוטים, בית חכם, מערכות לומדות
מקצועות שיעלמו מהעולם ומה כדאי ללמוד
1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
5. AI tools
6. Something special
7. Limitations of AI
8. Conclusion
KSIT Tech Form - Introduction to artificial intelligence (AI)Santosh Kumar
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
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.
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.
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.
The document discusses an AI system called Mithila and its members, providing definitions of artificial intelligence, machine learning, and deep learning. It compares human and artificial intelligence and profiles the founders of AI, John McCarthy and Marvin Minsky. The document then outlines current and future applications of AI including quantum computing, robots, smart cars, and discusses whether future AI will be unstoppable, dangerous, or human-friendly.
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
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.
1. Introduction
2. How AI originated
3. Interesting facts about AI
4. Real-life application of AI
5. AI tools
6. Something special
7. Limitations of AI
8. Conclusion
KSIT Tech Form - Introduction to artificial intelligence (AI)Santosh Kumar
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
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.
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.
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.
The document discusses an AI system called Mithila and its members, providing definitions of artificial intelligence, machine learning, and deep learning. It compares human and artificial intelligence and profiles the founders of AI, John McCarthy and Marvin Minsky. The document then outlines current and future applications of AI including quantum computing, robots, smart cars, and discusses whether future AI will be unstoppable, dangerous, or human-friendly.
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
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.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
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 - 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
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 (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.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
Slides from HR Talks on Future of work: AI vs. Human.
Organized by HR Hub in Bucharest, on 23 Jan 2017.
Topics discussed:
* Automation
* AI
* Impact on HR
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.
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
Artificial intelligence is the branch of computer science dealing with intelligent machines. There are two main methods of AI: symbolic AI which focuses on knowledge-based systems, and computational intelligence which includes neural networks, fuzzy systems, and evolutionary computing. Important early pioneers of AI included John McCarthy, Alan Turing, and researchers at Stanford. AI is being applied in many areas including cars, banking, phones, the internet, medicine, games, military, and more. While predicting the future is difficult, gradual advances will continue and AI may match human level intelligence in the coming decades, though jobs and work will continue to be impacted by intelligent technologies.
Artificial intelligence (AI) is the human-like intelligence exhibited by machines or software. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer science, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology. Major AI researchers and textbooks define the field as "the study and design of intelligent agents",[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines".[4]
AI research is highly technical and specialised, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.
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).
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
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 - 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
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 (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.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
Slides from HR Talks on Future of work: AI vs. Human.
Organized by HR Hub in Bucharest, on 23 Jan 2017.
Topics discussed:
* Automation
* AI
* Impact on HR
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.
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
Artificial intelligence is the branch of computer science dealing with intelligent machines. There are two main methods of AI: symbolic AI which focuses on knowledge-based systems, and computational intelligence which includes neural networks, fuzzy systems, and evolutionary computing. Important early pioneers of AI included John McCarthy, Alan Turing, and researchers at Stanford. AI is being applied in many areas including cars, banking, phones, the internet, medicine, games, military, and more. While predicting the future is difficult, gradual advances will continue and AI may match human level intelligence in the coming decades, though jobs and work will continue to be impacted by intelligent technologies.
Artificial intelligence (AI) is the human-like intelligence exhibited by machines or software. The AI field is interdisciplinary, in which a number of sciences and professions converge, including computer science, psychology, linguistics, philosophy and neuroscience, as well as other specialized fields such as artificial psychology. Major AI researchers and textbooks define the field as "the study and design of intelligent agents",[1] where an intelligent agent is a system that perceives its environment and takes actions that maximize its chances of success.[2] John McCarthy, who coined the term in 1955,[3] defines it as "the science and engineering of making intelligent machines".[4]
AI research is highly technical and specialised, and is deeply divided into subfields that often fail to communicate with each other.[5] Some of the division is due to social and cultural factors: subfields have grown up around particular institutions and the work of individual researchers. AI research is also divided by several technical issues. Some subfields focus on the solution of specific problems. Others focus on one of several possible approaches or on the use of a particular tool or towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning, knowledge, planning, learning, natural language processing (communication), perception and the ability to move and manipulate objects.[6] General intelligence (or "strong AI") is still among the field's long term goals.[7] Currently popular approaches include statistical methods, computational intelligence and traditional symbolic AI. There are an enormous number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others.
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).
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.