`libtensr` is a lightweight multi-dimensional tensor library written in C, designed for numerical and linear algebra operations in small-scale projects such as MiniRT. It provides a simple API for ...

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 ...

Journal of the American Mathematical Society, Vol. 32, No. 3 (JULY 2019), pp. 691-707 (17 pages) Tigran Ananyan and Melvin Hochster, Small subalgebras of polynomial rings and Stillman’s conjecture, ...

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 ...

Google has just announced the Pixel 10 series, and all four phones are powered by the Tensor G5 processor. Tensor chips have traditionally enabled a variety of great Pixel-only features, but have also ...

NVIDIA unveils CUTLASS 4.0, introducing a Python interface to enhance GPU performance for deep learning and high-performance computing, utilizing CUDA Tensors and Spatial Microkernels. NVIDIA has ...

Abstract: Recent research has focused on leveraging sparsity in hardware accelerators to improve the efficiency of applications spanning scientific computing to machine learning. Most such prior ...

The Nature Index 2025 Research Leaders — previously known as Annual Tables — reveal the leading institutions and countries/territories in the natural and health sciences, according to their output in ...

Google’s Tensor G5, destined for next year’s Pixel 10, might be the most awaited chip in the series yet. For the first time ever, Google is designing the chip completely internally without relying on ...