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ai: Definition and Recommended Links
Our favorite links for this topic area. Enjoy, fellow researchers! Questions, comments, new links? Email eewindow@aol.com!. Our favorite links for this topic area. Enjoy, fellow researchers! Questions, comments, new links? Email eewindow@aol.com!. Artificial intelligence (AI) is both the intelligence of machines and the branch of computer science which aims to create it.
Major AI textbooks define artificial intelligence as 'the study and design of intelligent agents,'where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as 'the science and engineering of making intelligent machines.'
Among the traits that researchers hope machines will exhibit are reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or 'strong AI') has not yet been achieved and is a long-term goal of AI research.
AI research uses tools and insights from many fields, including computer science, psychology, philosophy, neuroscience, cognitive science, linguistics, ontology, operations research, economics, control theory, probability, optimization and logic.[7] AI research also overlaps with tasks such as robotics, control systems, scheduling, data mining, logistics, speech recognition, facial recognition and many others.
Source: Wikipedia (http://en.wikipedia.org/wiki/Artificial_intelligence)
other great electronics sites:ee toolbox site
ai Artificial intelligence (AI) is both the intelligence of machines and the branch of computer science which aims to create it. Major AI textbooks define artificial intelligence as 'the study and design of intelligent agents,'where an intelligent agent is a system that perceives its environment and takes actions which maximize its chances of success. John McCarthy, who coined the term in 1956, defines it as 'the science and engineering of making intelligent machines.'
Among the traits that researchers hope machines will exhibit are reasoning, knowledge, planning, learning, communication, perception and the ability to move and manipulate objects. General intelligence (or 'strong AI') has not yet been achieved and is a long-term goal of AI research.
AI research uses tools and insights from many fields, including computer science, psychology, philosophy, neuroscience, cognitive science, linguistics, ontology, operations research, economics, control theory, probability, optimization and logic.[7] AI research also overlaps with tasks such as robotics, control systems, scheduling, data mining, logistics, speech recognition, facial recognition and many others.
Source: Wikipedia (http://en.wikipedia.org/wiki/Artificial_intelligence)
(Note: The Electronic Engineers Toolbox provides an alternative set of featured links for this word at http://www.cera2.com/artificial-intelligence.htm)
Explanation: these links are provided as part of our EE glossary project, which seeks to identify the most prominent keywords in embedded systems, embedded software, realtime and rtos, dsp (digital signal processing), system-on-a-chip, microprocessors and microcontrollers, and other constituent elements for embedded systems. While we seek to keep most of the links up-to-date, the user is refered to other primary electronic-based search sites such as: cera2.com, embedded.com, or EDN Magazine. If you have any suggestions of links or definitions, please email!
Mark Twain quote for the day:
I was born with an incurable disease, so was everybody -- the same one that every machine has -- and the knowledge of the fact frightens nobody, damages nobody; but the moment a name is given the disease, the whole thing is changed: fright ensues, and horrible depression, and the life that has learned its sentence is not worth the living.
- Letter to Dr. W. W. Baldwin (written between Nov. 1903 and June 1904)