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Component for Brain-Inspired Computing

Scientists aim to perform machine-​learning tasks more efficiently with processors that emulate the working principles of the human brain. (Visualisations: Adobe Stock)

Researchers from ETH Zurich, the University of Zurich and Empa have developed a new material for an electronic component that can be used in a wider range of applications than its predecessors. Such components will help create electronic circuits that emulate the human brain and that are more efficient at performing machine-​learning tasks.

Compared with computers, the human brain is incredibly energy efficient. Scientists are therefore drawing on how the brain and its interconnected neurons function for inspiration in designing innovative computing technologies...

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