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, ...

MicroCloud Hologram Inc. , ("HOLO" or the "Company"), a technology service provider, proposed an innovative hardware ...

Tensor product The tensor product, also called dot product or matmul (short for “matrix multiplication”) is one of the most common, most useful tensor operations. In NumPy, a tensor product is done ...

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 ...

Google picked a mix of in-house designed and off-the-shelf IP for the upcoming Tensor G5. Many parts of the chip are built by other companies, including Arm, Imagination Technologies, VeriSillicon, ...