Tensor Auto Inc., a startup that develops autonomous vehicles, is considering raising several hundreds million dollars ahead of a potential initial public offering in the U.S., according to people ...

Google's TorchTPU aims to enhance TPU compatibility with PyTorch Google seeks to help AI developers reduce reliance on Nvidia's CUDA ecosystem TorchTPU initiative is part of Google's plan to attract ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.

Dec 17 (Reuters) – Alphabet’s Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the world’s most widely used AI software framework, in a move ...

Smartphones may look familiar on the surface in 2026, yet the technology inside is taking a decisive leap forward. AI-native processors, new connectivity layers and advanced display systems are ...

Abstract: We present an automatic static analyzer PyTea that detects tensorshape errors in PyTorch code. The tensor-shape error is critical in the deep neural net ...

Walkthroughs, tutorials, guides, and tips. This story will teach you how to do something new or how to do something better. My name is Ankush Thakur, and as a Computer Science student fascinated by ...

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 has spent more than a decade developing silicon, a bet that's paying off in a big way from the AI boom. The company says increased demand for its Tensor Processing Units, or TPUs, is one reason ...