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 AI programmers are needed in many fields, from health care to finance and from cars to online apps. The need for skilled AI programmers is growing very ...

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 ...

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

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

Nagpur Police today launched “AI Nirikshak”, Maharashtra’s first AI-powered crowd management system, ahead of the Winter Assembly session 2025.

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 ...

The $12K machine promises AI performance can scale to 32 chip servers and beyond but an immature software stack makes harnessing that compute challenging ...