Electronics & Semiconductors

A Bayesian machine based on memristors

Over the past few decades, the performance of machine learning models on various real-world tasks has improved significantly. Training and implementing most of these models, however, still requires vast amounts of energy ...

Computer Sciences

Synapses as a model: Solid-state memory in neuromorphic circuits

Certain tasks—such as recognizing patterns and language—are performed highly efficiently by a human brain, requiring only about one ten-thousandth of the energy of a conventional, so-called "von Neumann" computer. One ...

Electronics & Semiconductors

Better memristors for brain-like computing

Scientists are getting better at making neurone-like junctions for computers that mimic the human brain's random information processing, storage and recall. Fei Zhuge of the Chinese Academy of Sciences and colleagues reviewed ...

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