Neuromorphic physics

In a nutshell

Neuromorphic physics combines brain-inspired methods with physics for efficient information processing. Using nanomaterials and technologies such as spintronics, superconductivity and photonics, it enhances the performance of classical and quantum neural networks. Physics comes into play both to perfect the devices that mimic neurons and synapses, and to improve the algorithms. The aim is to design energy-efficient devices that are able to analyse data and learning in real time.

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