Understand Local Response Normalization (LRN) in deep learning: what it is, why it was introduced, and how it works in ...

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

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

Humans possess a remarkable balance between stability and flexibility, enabling them to quickly establish new plans and ...

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

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 ...

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 ...

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

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 ...

ALLEN PARK, Mich. – The United States Postal Service has responded after an Allen Park worker’s body was found stuck in a machine after 6-8 hours. The discovery was made Saturday, Nov. 8, 2025, at a ...

Reinforcement learning (RL) is machine learning (ML) in which the learning system adjusts its behavior to maximize the amount of reward and minimize the amount of punishment it receives over time ...