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

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to ...

Manulife announced today that it has chosen Adaptive ML to provide model fine-tuning technology as part of its enterprise AI platform.

What Is Physical AI & Robotics? Physical AI & Robotics refers to intelligent systems where artificial intelligence is ...

AIQuant Labs has launched DexTrader.ai, a machine learning-powered investment platform designed to bring institutional-grade ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

While some AI courses focus purely on concepts, many beginner programs will touch on programming. Python is the go-to language for AI because it’s relatively easy to learn and has a massive library of ...

Reverse Logistics, Artificial Intelligence, Circular Economy, Supply Chain Management, Sustainability, Machine Learning Share and Cite: Waditwar, P. (2026) De-Risking Returns: How AI Can Reinvent Big ...

The speed at which agentic AI has spread throughout the workforce accelerated over the past year. A survey of business ...