Medical Xpress October 15, 2021
CWI researchers Bojian Yin and Sander Bohté, together with their colleague Federico Corradi of Stichting Interuniversitair Micro-Elektronica Centrum (IMEC) in Eindhoven, have achieved a mathematical breakthrough in the computation of so-called spiking neural networks.
Thanks to this breakthrough, special chips that are suitable for this artificial intelligence (AI) can recognize speech, gestures and electrocardiograms (ECGs) a factor of twenty to a thousand more efficiently than traditional AI techniques. Such chips are on the verge of practical, everyday applications.
The results of the research were published in the scientific journal Nature Machine Intelligence on 14 October 2021.
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Over the past decade, AI has gained more and more everyday applications, including for recognizing images and spoken word. This is done...
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