Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...

This absence of interiority can be described as a deficit, as if something essential were missing. But another way to see it ...

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

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

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

Vector is a leading logistics workflow platform, offering electronic bill of lading, driver check-in, and yard automation. Shippers, carriers, and receivers benefit from faster throughput, fraud ...

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

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

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.

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

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