Artificial intelligence/life

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This graphic illustrates a new computer-vision technology that builds on the basic physics and mathematical equations related to how heat diffuses over surfaces. The technique mimics how humans perceive three-dimensional shapes by instantly recognizing objects no matter how they are twisted or bent, an advance that could help machines see more like people. Here, a "heat mean signature" of a human hand model is used to perceive the six segments of the overall shape and define the fingertips. (Purdue University image/Karthik Ramani and Yi Fang)

Newsroom - Genius of Einstein, Fourier key to new humanlike computer vision

http://www.purdue.edu/newsroom/research/2011/110620RamaniHeat.html

Artificial life - Wikipedia, the free encyclopedia

Artificial life (often abbreviated ALife or A-Life [ 1 ] ) is a field of study and an associated art form which examine systems related to life , its processes, and its evolution through simulations using computer models , robotics , and biochemistry . [ 2 ] The discipline was named by Christopher Langton , an American computer scientist, in 1986. [ 3 ] There are three main kinds of alife, [ 4 ] named for their approaches: soft , [ 5 ] from software ; hard , [ 6 ] from hardware ; and wet , from biochemistry. Artificial life imitates traditional biology by trying to recreate biological phenomena. [ 7 ] The term "artificial intelligence" is often used to specifically refer to soft alife. [ 8 ] [ edit ] Overview Artificial life studies the logic of living systems in artificial environments. http://en.wikipedia.org/wiki/Artificial_life
http://en.wikipedia.org/wiki/Artificial_intelligence

Artificial intelligence - Wikipedia, the free encyclopedia

Artificial intelligence ( AI ) is the intelligence of machines and the branch of computer science that aims to create it. AI 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 1956, [ 3 ] defines it as "the science and engineering of making intelligent machines." [ 4 ] AI research is highly technical and specialized, deeply divided into subfields that often fail to communicate with each other. [ 5 ] Subfields have grown up around particular institutions, the work of individual researchers, the solution of specific problems and the application of widely differing tools.