A custom-built chip for machine learning from Google. Introduced in 2016 and found only in Google datacenters, the Tensor Processing Unit (TPU) is optimized for matrix multiplications, which are ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

Google recently announced at its I/O event its sixth tensor processing unit (TPU) called Trillium, and according to the company the new processor is designed for powerful next-generation AI models.

Will a chip good for one task truly have the mettle to take down the reigning champ of AI chips? Alphabet is certainly bent ...

Deep machine learning has achieved remarkable success in various fields of artificial intelligence, but achieving both high interpretability and high efficiency simultaneously remains a critical ...

BARCELONA, SPAIN, October 24, 2023 /EINPresswire.com/ -- Semidynamics has just announced a RISC-V Tensor Unit that is designed for ultra-fast AI solutions and is ...