For India, neuromorphic computing is advancing simultaneously at the device, circuit, architecture, and system levels.

A a patented analogue in-memory compute architecture that embeds analogue MAC units directly inside SRAM cuts edge AI power needs 100x.

Incorporating device hardware into optimization processes could result in orders-of-magnitude reduction in AI energy use.

Rolando D. Somma of Google Quantum AI and colleagues have devised a quantum algorithm that efficiently solves the Sylvester equation, a fundamental linear matrix equation used in fields from control ...