Artificial Intelligence

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Artificial Intelligence

  1. 1. ppt Artificial Intelligence
  2. 2. The concept that computers can be programmed to assume capabilities such as learning, reasoning, adaptation and self correction. What Is Artificial Intelligence ?
  3. 3. A sub field of ai addresses creativity both theorotically and practically. A related area of computational research is artificial intution and artificial imagination. Creativeness by the ai
  4. 4. The general problem of simulating intelligence have been broken down into a number of specific sub-problems. These consist of particular traits or capabilities that researchers would like an intelligent system to display but they are not always able to display the accurate information. problems with ai
  5. 5. In the 1940s and 1950s, a number of researchers explored the connection between neurology, information theory, and cybernetics. Some of them built machines that used electronic networks to exhibit rudimentary intelligence, such as W. Grey Walter's turtles and the Johns Hopkins Beast cybernetics and brain communication
  6. 6. Honda's Humanoid ASIMO
  7. 7. Over the past co uple d ecades much work, and pro gress , has been made in th e pursuit of creating artificial min d s and lifelike humanoid movement. Researchers from many different nations have experimented with recreating realistic human characteristics - with some success. Honda's humanoid robot ASIMO leads the way in mobility Asimo's intelligence
  8. 8. Machine le arning has been central to AI research from the beginnin g . Uns upervised learn ing is the ability to find patterns in a stream of input. Supervised learning inc lud es b oth classification and n umerical regression. Class ification is used to determ ine what category some thing belongs in, after seeing a number of examples of things from several categories. Can A.I. learn things?
  9. 9.   AI researchers developed sophisticated mathematical tools to solve specific subproblems. These tools are truly scientific, in the sense that their results are both measurable and verifiable, and they have been responsible for many of AI's recent successes Statistical A.I.

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