Cambridge researchers propose Hf(Sr,Ti)O2 memristors for neuromorphic devices.

Researchers at the University of Cambridge have proposed an answer to escalating energy consumption of AI hardware – multicomponent p-type Hf(Sr,Ti)O2 thin films for memristor-based neuromorphic devices. ‘Neuromorphic computing offers ... The post Cambridge researchers propose Hf(Sr,Ti)O2 memristors for neuromorphic devices. appeared first on Electronics Weekly .