GPUs are very important for AI workloads, but it's also important to consider the underlying hardware and ensure that it's ...

AI for robotics is already here, and both hobbyists and students can get their hands dirty with these 10 easy-to-use ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...

By simulating real-world challenges in robotics, automation, and machine learning, the platform bridges education and workforce readiness.

Machine-learning application makes advanced chemical predictions easier and faster, no deep programming skills required by Danielle Randall Doughty, Massachusetts Institute of Technology ...

High-quality output at low latency is a critical requirement when using large language models (LLMs), especially in ...

RAVEL, an IT and workload orchestration software company, today announced updates to its flagship offering, RAVEL Orchestrate ...