JAX is one of the fastest-growing tools in machine learning, and this video breaks it down in just 100 seconds. We explain how JAX uses XLA, JIT compilation, and auto-vectorization to turn ordinary ...

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

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

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

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

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

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

The CUDA Moat: Wall Street analysts often cite Nvidia’s CUDA software as its primary competitive advantage. By natively ...

Google (GOOG) (GOOGL) is working to lessen Nvidia's (NVDA) advantage with its CUDA software platform, with some help from ...

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

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