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 ...

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 ...

A new publication from Opto-Electronic Technology; DOI 10.29026/oet.2025.250011 , discusses integrated photonic synapses, neurons, memristors, and ...

A new publication from Opto-Electronic Technology; DOI   10.29026/oet.2025.250011, discusses integrated photonic synapses, neurons, memristors, and neural networks for photonic neuromorphic computing.

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

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 ...

Here's the list of most common mistakes students make in Class 12 Mathematics basic concepts.

Inference-optimized chip 30% cheaper than any other AI silicon on the market today, Azure's Scott Guthrie claims Microsoft on ...

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