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

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 ...

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

Discover how online and offline AI courses in Mumbai teach ML, deep learning, NLP, Gen AI and MLOps with projects, ...

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

Canonical natively integrates AMD's GPU platform ROCm into Ubuntu 26.04 LTS. Developers will soon be installing software for ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

Canonical will package AMD ROCm directly in the Ubuntu 26.04 LTS repos, making it much easier to get GPU-accelerated ...

Software compatibility differs substantially, with Nvidia supporting CUDA, TensorRT-LLM, PyTorch, JAX and Triton, while Google’s TPU works with JAX/XLA, TensorFlow and emerging PyTorch/XLA, according ...

Nvidia’s valuation relies heavily on CUDA, but new compiler technology from Spectral Compute could open the door to broader ...