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

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

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

Google and Meta have reportedly joined hands to challenge Nvidia in the AI race through software and hardware development.

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

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.

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.

Google and Meta launch TorchTPU to challenge Nvidia’s AI dominance. TPU v7 Ironwood hits 42.5 Exaflops as Nvidia market cap ...

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

Thinking Machines Lab Inc. today launched its Tinker artificial intelligence fine-tuning service into general availability.

GPUs, born to push pixels, evolved into the engine of the deep learning revolution and now sit at the center of the AI ...

A research paper by scientists from Tianjin University proposed a novel solution for high-speed steady-state visually evoked potential (SSVEP)-based brain–computer interfaces (BCIs), featuring a ...