Tech Xplore on MSN
Tiny silicon structures compute with heat, achieving 99% accurate matrix multiplication
MIT researchers have designed silicon structures that can perform calculations in an electronic device using excess heat ...
Neurophos is developing a massive optical systolic array clocked at 56GHz good for 470 petaFLOPS of FP4 compute As Moore's ...
New silicon designs apply AI to processing and enhancing digital audio. Cadence has new IP to simplify the work.
The rise of AI chips in data centers and PCs is changing the way businesses can protect against cyberattacks and data ...
Tulkas T100 optical GPU could transform AI inference, tackling massive computations previously impossible for current silicon ...
Interesting Engineering on MSN
MIT’s new heat-powered silicon chips achieve 99% accuracy in math calculations
Scientists in the US have created a tiny silicon chip that can perform mathematical ...
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.
A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling energy-efficient self-organizing maps without external arithmetic circuits.
“We must strive for better,” said IBM Research chief scientist Ruchir Puri at a conference on AI acceleration organised by the computer company and the IEEE in November. He expects almost all language ...
PageIndex, a new open-source framework, achieves 98.7% accuracy on complex document retrieval by using tree search instead of ...
Understanding the benefits of matrix converters for EV chargers and a comparison of different matrix converter topologies.
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