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

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 report didn’t specify the valuation that FuriosaAI is expected to receive. The company was worth $735 million as of July, ...

Lyft is partnering with San Jose-based Tensor Auto. Lyft says it has reserved "hundreds" of Tensor robotaxis and will operate its own fleet. The other piece of the partnership: Tensor will make its ...

Google’s in-house Tensor chips have steadily improved over the years to become a reliable daily driver with solid battery efficiency. Still, performance has often been a sticking point. While previous ...

Hi, thanks for your great work on Transformer Engine! I am working on a project that requires high-performance batched matrix multiplication (i.e., 3D tensor multiplication) where all inputs are ...

Discovering faster algorithms for matrix multiplication remains a key pursuit in computer science and numerical linear algebra. Since the pioneering contributions of Strassen and Winograd in the late ...

Abstract: We investigate the performance of algorithms for sparse tensor-sparse tensor multiplication (SpGETT). This operation, also called sparse tensor contraction, is a higher order analogue of the ...

Last year, I wrote about the massive energy costs of AI and General Purpose Transformers like ChatGPT. The AI capabilities are amazing, but the energy and environmental cost is concerning. To ...