Tensor was founded in Silicon Valley as AutoX back in 2016 and focused on building autonomous commercial vehicles and robotaxis. The company began testing autonomous vehicles in California and China ...

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 ...

Tensors are the fundamental building blocks in deep learning and neural networks. But what exactly are tensors, and why are they so important? In this video, we break down the concept of tensors in ...

A multilayer graphene-based tape conducts heat quickly while insulating electricity, offering a thin and flexible solution for cooling compact electronic devices without added bulk or risk. (Nanowerk ...

Researchers from The University of New Mexico and Los Alamos National Laboratory have developed a novel computational framework that addresses a longstanding challenge in statistical physics. The ...

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 ...

Pytorch implementation of the SGU-MLP Architecture from the paper "Spatial Gated Multi-Layer Perceptron for Land Use". The implementation follows the implementation of the original authors. It differs ...

Google’s Tensor reboot of the Pixel lineup has never been about adding more power, but rather about creating an experience tailored to what Google wants your phone to be. With the Pixel 10, Tensor G5 ...

Tensor is the Pixel’s secret sauce, empowering the series with AI smarts you can’t find elsewhere and solid-enough performance and battery life to last the day. However, Google has been quieter than ...