MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...

MIT engineers use heat-conducting silicon microstructures to perform matrix multiplication with >99% accuracy hinting at ...

The heat your devices produce could do the computing. A silicon structures turn waste heat into calculations, cutting energy ...

Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

Tulkas T100 optical GPU could transform AI inference, tackling massive computations previously impossible for current silicon ...

Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's ...

“Mathematics is the art of reducing any problem to linear algebra.” This is a quote often attributed to William Stein, a former mathematics professor at the University of Washington, now the lead ...

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

The rise of AI chips in data centers and PCs is changing the way businesses can protect against cyberattacks and data breaches by introducing new security capabilities such as large-scale digital ...