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 ...

Computer Sciences

Deep learning rethink overcomes major obstacle in AI industry

Rice University computer scientists have overcome a major obstacle in the burgeoning artificial intelligence industry by showing it is possible to speed up deep learning technology without specialized acceleration hardware ...

Machine learning & AI

Brain-like network uses disorder to detect order

A disordered network that is capable of detecting ordered patterns: This sounds contradictory, but it comes close to describing the way the brain works. Researchers of the University of Twente have developed a such brain-inspired ...

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