
Reinhard Karger, MA What is artificial intelligence
... AI right now is deep learning, which is based on neural networks and used for the analysis of vast amounts of data. It is successfully deployed for visual sentiment analysis of images, multimedia opinion mining, trend analysis, self-driving vehicles, cancer research, and weather forecasts. The “next ...
... AI right now is deep learning, which is based on neural networks and used for the analysis of vast amounts of data. It is successfully deployed for visual sentiment analysis of images, multimedia opinion mining, trend analysis, self-driving vehicles, cancer research, and weather forecasts. The “next ...
Intelligence as perspective
... prediction response to change intentional action reasoning ...
... prediction response to change intentional action reasoning ...
Artificial intelligenceMethods and Applications in modelling
... Guangyue Xue, senior engineer, Beijing Institute of Satellite Information Engineering, iviiivi@163.com ...
... Guangyue Xue, senior engineer, Beijing Institute of Satellite Information Engineering, iviiivi@163.com ...
CPS 4801 artificial intelligence
... – Computers playing chess – Chess game involved about 10120 possible moves! – Even examining one move per microsecond would require 3 x 10106 years to make its first move ...
... – Computers playing chess – Chess game involved about 10120 possible moves! – Even examining one move per microsecond would require 3 x 10106 years to make its first move ...
Artificial Intelligence - Department of Intelligent Systems
... Computational models require a mathematically and logically formal representation of a problem. Computer models are used in the simulation and experimental verification of different specific and general properties of intelligence. Computational modelling can help us to understand the functional orga ...
... Computational models require a mathematically and logically formal representation of a problem. Computer models are used in the simulation and experimental verification of different specific and general properties of intelligence. Computational modelling can help us to understand the functional orga ...
Judul - Binus Repository
... – A database in Austin, TX that holds 1.4 million basic truths – Plan is that Cyc will automatically make human-like assumptions – Hope is that Cyc will learn on its own ...
... – A database in Austin, TX that holds 1.4 million basic truths – Plan is that Cyc will automatically make human-like assumptions – Hope is that Cyc will learn on its own ...
Physical symbol system
... people used this kind of symbol processing as well. AI researchers were able simulate the step by step problem solving skills of people with computer programs. This collaboration and the issues it raised eventually would lead to the creation of the field of cognitive science.[5] These two lines of e ...
... people used this kind of symbol processing as well. AI researchers were able simulate the step by step problem solving skills of people with computer programs. This collaboration and the issues it raised eventually would lead to the creation of the field of cognitive science.[5] These two lines of e ...
CSE 214: Data Structures for Information Systems
... Speech recognition Speech synthesis Computer Vision Robotics ...
... Speech recognition Speech synthesis Computer Vision Robotics ...
Introduction - Bilkent University Computer Engineering Department
... The program was able to prove most of the theorems in the book Principia Mathematica by Russell and Whitehead and the one of the proofs was even shorter than the one in Principia This success is followed by General Problem Solver (GPS) which was designed from the start to imitate human problem-solvi ...
... The program was able to prove most of the theorems in the book Principia Mathematica by Russell and Whitehead and the one of the proofs was even shorter than the one in Principia This success is followed by General Problem Solver (GPS) which was designed from the start to imitate human problem-solvi ...
the nature of knowledge
... Can a machine ever have the intelligence of a human being? Has Turing’s test been passed? Why did early researchers concentrate on Chess? If we make use of a frog’s brain to process stimuli, is that an example of a Top-Down or a Bottom-up approach? What branch of AI does the work on percept ...
... Can a machine ever have the intelligence of a human being? Has Turing’s test been passed? Why did early researchers concentrate on Chess? If we make use of a frog’s brain to process stimuli, is that an example of a Top-Down or a Bottom-up approach? What branch of AI does the work on percept ...
Document
... • John McCarthy coins the term in 1956 as the theme of a conference held at Dartmouth College. ...
... • John McCarthy coins the term in 1956 as the theme of a conference held at Dartmouth College. ...
AI = the design of rational agents
... actions are appropriate for goals and circumstances makes appropriate choices given perceptual limitations and finite computation (flexible to changing environments and goals; learns from experience) ...
... actions are appropriate for goals and circumstances makes appropriate choices given perceptual limitations and finite computation (flexible to changing environments and goals; learns from experience) ...
Lecture - Computer Science
... such as reasoning, planning, communicating in language, solving problems, seeing what’s around, moving around in the world, creating artworks, playing games, learning, emoting, being conscious, having society, etc. ...
... such as reasoning, planning, communicating in language, solving problems, seeing what’s around, moving around in the world, creating artworks, playing games, learning, emoting, being conscious, having society, etc. ...
History of AI
... machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until—in a visible future—the range of problems they can handle will be coextensive with the range to which human mind has been applied. (Herb Simon, 1957) • In 1958, he predicted ...
... machines that think, that learn and that create. Moreover, their ability to do these things is going to increase rapidly until—in a visible future—the range of problems they can handle will be coextensive with the range to which human mind has been applied. (Herb Simon, 1957) • In 1958, he predicted ...
xiii - UCSD Music
... (AIIDE’12). Computer games are a staple of today’s popular culture, and have been called the preeminent form of entertainment of the 21st century. The computer game industry has become a multibilliondollar commercial enterprise. Game system requirements are an important driver of hardware and softwa ...
... (AIIDE’12). Computer games are a staple of today’s popular culture, and have been called the preeminent form of entertainment of the 21st century. The computer game industry has become a multibilliondollar commercial enterprise. Game system requirements are an important driver of hardware and softwa ...
AI & Expert Systems
... What is Artificial Intelligence? • AI is the effort to develop systems that can behave/act like humans. • Turing Test • The problem = unrestricted domains ...
... What is Artificial Intelligence? • AI is the effort to develop systems that can behave/act like humans. • Turing Test • The problem = unrestricted domains ...
What is Cognitive Science?
... - Dragon Naturally Speaking Robotics - robot moles in Mars exploration ...
... - Dragon Naturally Speaking Robotics - robot moles in Mars exploration ...
Artificial Intelligence CSE 473
... Ability to perceive and act in the world Reasoning: proving theorems, medical diagnosis Planning: take decisions Learning and Adaptation: recommend movies, learn traffic patterns • Understanding: text, speech, visual scene ...
... Ability to perceive and act in the world Reasoning: proving theorems, medical diagnosis Planning: take decisions Learning and Adaptation: recommend movies, learn traffic patterns • Understanding: text, speech, visual scene ...
Study of human brain yields intelligent robots
... Artificial intelligence had its origins in 1950, when the mathematician Alan Turing proposed a test to determine whether a machine could think. The test involved having a person face two computer terminals, only one of which had a human behind it. If a human judge could not tell which terminal was c ...
... Artificial intelligence had its origins in 1950, when the mathematician Alan Turing proposed a test to determine whether a machine could think. The test involved having a person face two computer terminals, only one of which had a human behind it. If a human judge could not tell which terminal was c ...
Study of human brain yields intelligent robots
... Artificial intelligence had its origins in 1950, when the mathematician Alan Turing proposed a test to determine whether a machine could think. The test involved having a person face two computer terminals, only one of which had a human behind it. If a human judge could not tell which terminal was c ...
... Artificial intelligence had its origins in 1950, when the mathematician Alan Turing proposed a test to determine whether a machine could think. The test involved having a person face two computer terminals, only one of which had a human behind it. If a human judge could not tell which terminal was c ...
PHI 350 Technology and Ethics Research Paper. Subject: Artificial
... PHI 350 Technology and Ethics Research Paper. Subject: Artificial Intelligence Abstract: Are there ethical uses for AI, Do we as humans want to have a machine make ethical decisions? Possibly narrow the topic down to AI use in weapons systems, automobiles, AI robots for home care, bring into the p ...
... PHI 350 Technology and Ethics Research Paper. Subject: Artificial Intelligence Abstract: Are there ethical uses for AI, Do we as humans want to have a machine make ethical decisions? Possibly narrow the topic down to AI use in weapons systems, automobiles, AI robots for home care, bring into the p ...
Hybrid Intelligent Systems
... traditional Artificial Intelligence systems. Hybrid of intelligent systems is a promising research area of computational intelligence focusing on hybrid approaches to solve real world problems and develop the next generation of novel intelligent systems. Evolutionary Algorithms, Fuzzy Logic, Neural ...
... traditional Artificial Intelligence systems. Hybrid of intelligent systems is a promising research area of computational intelligence focusing on hybrid approaches to solve real world problems and develop the next generation of novel intelligent systems. Evolutionary Algorithms, Fuzzy Logic, Neural ...