Google has reportedly initiated the TorchTPU project to enhance support for the PyTorch machine learning framework on its ...

Google develops TorchTPU to make PyTorch run more smoothly on TPUs, aiming to challenge Nvidia, broaden cloud AI workloads, ...

Alphabet's Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

Overview: Top Python frameworks streamline the entire lifecycle of artificial intelligence projects from research to ...

Alphabet’s Google is working on a new initiative to make its artificial intelligence chips better at running PyTorch, the ...

The new initiative, known internally as “TorchTPU,” aims to remove a key barrier that has slowed adoption of TPU chips by ma ...

Picklescan flaws allowed attackers to bypass scans and execute hidden code in malicious PyTorch models before the latest patch.

Overview AI programmers are needed in many fields, from health care to finance and from cars to online apps. The need for skilled AI programmers is growing very ...

Machine learning is transforming many scientific fields, including computational materials science. For about two decades, ...

Google aims to remove a significant obstacle that has limited the broader adoption of its chips by outside developers.

TPUv7 offers a viable alternative to the GPU-centric AI stack has already arrived — one with real implications for the economics and architecture of frontier-scale training.

A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...