Google has taken a big leap forward with the speed of its machine learning systems by creating its own custom chip that it’s been using for over a year. The company was rumored to have been designing ...

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 is ready to open up its Cloud TPU platform to developers and researchers looking to test machine learning workloads -- and it's got a new, more powerful Cloud TPU design than the chips we've ...

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 ...

There are central processing units (CPUs), graphics processing units (GPUs) and even data processing units (DPUs) – all of which are well-known and commonplace now. GPUs in particular have seen a ...

Google reached a settlement on Wednesday in a patent infringement lawsuit over the TPU chips powering its artificial intelligence (AI) technology, just hours before closing arguments were set to begin ...

TensorFlow was created simply to develop your own machine-learning (ML) models. You might even experience it daily and not know it, like recommendation systems that suggest the next YouTube video, ...

A team of Google researchers have shared a plan for building a machine learning system in space. The AI processing hardware would consist of a network of satellites in low Earth orbit, potentially ...