Researchers from University of Michigan in the US have developed a new type of neural network chip that can dramatically improve the efficiency of teaching machines to think like humans.
-The network, called a reservoir computing system, could predict words before they are said during conversation, and help predict future outcomes based on the present.
-Reservoir computing systems, which improve on a typical neural network’s capacity and reduce the required training time, have been created in the past with larger optical components.
-Scientists created their system using memristors, which require less space and can be integrated more easily into existing silicon-based electronics.
-Memristors are a special type of resistive device that can both perform logic and store data.
This contrasts with typical computer systems, where processors perform logic separate from memory modules.
Artificial neural network: An artificial neural network is an interconnected group of nodes, akin to the vast network of neurons in a brain.
Reservoir computing system: Reservoir computing is a framework for computation that may be viewed as an extension of neural networks.
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