Computer Sciences

A framework to enhance deep learning using first-spike times

Researchers at Heidelberg University and University of Bern have recently devised a technique to achieve fast and energy-efficient computing using spiking neuromorphic substrates. This strategy, introduced in a paper published ...

Computer Sciences

New approach found for energy-efficient AI applications

Most new achievements in artificial intelligence (AI) require very large neural networks. They consist of hundreds of millions of neurons arranged in several hundred layers, i.e. they have very 'deep' network structures. ...

Machine learning & AI

Breakthrough in energy efficient artificial intelligence

Thanks to a mathematical breakthrough, AI applications like speech recognition, gesture recognition and ECG classification can become a hundred to a thousand times more energy efficient. This means it will be possible to ...

Computer Sciences

Energy-efficient tuning of spintronic neurons

The human brain efficiently executes highly sophisticated tasks, such as image and speech recognition, with an exceptionally lower energy budget than today's computers can. The development of energy-efficient and tunable ...

Computer Sciences

Artificial brains may need sleep too

No one can say whether androids will dream of electric sheep, but they will almost certainly need periods of rest that offer benefits similar to those that sleep provides to living brains, according to new research from Los ...

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