Google launches 'TorchTPU' initiative to enhance TPU compatibility with PyTorch, aiming to rival Nvidia's GPU market lead ...

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

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 aimed at weakening ...

Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Nvidia is hurtling towards the end of 2025, after a very successful year, during which it redefined what it means to be a ...

Alphabet is the most complete end-to-end AI company on the planet, and the advantages of its vertical integration and its ...

Nvidia has been one of the best-performing stocks in the current bull market. The stock has increased by more than 1,000% ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

Tech giant Google ($GOOGL) is working to cut into chipmaker Nvidia’s ($NVDA) lead in the AI space by improving how its own chips, called tensor ...

The last three years have been marked by the rapid development and deployment of new artificial intelligence technology. From ...

Google is advancing its TorchTPU initiative to optimize PyTorch performance on its proprietary TPU chips, as reported by .

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...