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Artificial Intelligence (AI): At a Glance
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A simple feedforward neural networkIn a simple feedforward neural network, all signals flow in one direction, from input to output. Input neurons receive signals from the environment and in turn send signals to neurons in the “hidden” layer. Whether any particular neuron sends a signal, or “fires,” depends on the combined strength of signals received from the preceding layer. Output neurons communicate the final result by their firing pattern.
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Artificial Intelligence (AI): At a Glance Article

artificial intelligence summary

Learn about the development of artificial intelligence and its various applications

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Below is the article summary. For the full article, see Artificial Intelligence (AI): At a Glance.
Pebbles the robot
Pebbles the robotPebbles, a tractorlike robot utilizing a vision-based control system developed during the late 1990s as part of MIT's Mars Rover Research Project. Pebbles, which is about the size of a domestic cat, negotiates around obstacles with the aid of a single camera, the robot's only sensor. With its arm attached, Pebbles can collect samples or handle dangerous objects.

artificial intelligence (AI), Ability of a machine to perform tasks thought to require human intelligence. Typical applications include game playing, language translation, expert systems, and robotics. Although pseudo-intelligent machinery dates back to antiquity, the first glimmerings of true intelligence awaited the development of digital computers in the 1940s. AI, or at least the semblance of intelligence, has developed in parallel with computer processing power, which appears to be the main limiting factor. Early AI projects, such as playing chess and solving mathematical problems, are now seen as trivial compared to visual pattern recognition, complex decision making, and the use of natural language. See also Turing test.

A simple feedforward neural networkIn a simple feedforward neural network, all signals flow in one direction, from input to output. Input neurons receive signals from the environment and in turn send signals to neurons in the “hidden” layer. Whether any particular neuron sends a signal, or “fires,” depends on the combined strength of signals received from the preceding layer. Output neurons communicate the final result by their firing pattern.
neural network Summary
Neural network, a computer program that operates in a manner inspired by the natural neural network in the brain. The objective of such artificial neural networks is to perform such cognitive functions as problem solving and machine learning. The theoretical basis of neural networks was developed