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

Google is intensifying efforts to make its proprietary artificial intelligence hardware more compatible with the industry’s leading software, a move aimed at challenging NVIDIA Corp’s (NASDAQ:NVDA) ...

Google is enhancing its AI chips to improve compatibility with PyTorch, aiming to challenge Nvidia's dominance in the AI ...

The effort is part of Google's aggressive plan to make its Tensor Processing Units a viable alternative to Nvidia's ...

Deep learning is transforming the way we approach complex problems in various fields, from image recognition to natural language processing. Among the tools available to researchers and developers, ...

Tensors play a pivotal role in AI and deep learning systems, and share a common heritage with both physics and advanced mathematics. All of which makes it extremely difficult to lock down a definitive ...

According to a Reuters report, the initiative aims to improve compatibility between Google’s Tensor Processing Units and ...

Because machine learning with deep neural techniques has advanced quickly, our resident data scientist updates binary classification techniques and best practices based on experience over the past two ...