Machine learning technique teaches power-generating kites to extract energy from turbulent airflows more effectively, ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

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

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 ...

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on intelligence and data, not just execution ...

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 DEX trading and tokenized ...

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

MenteeBot autonomously fetches a Coke, showing how robots can learn tasks through demonstration and verbal instructions.

Manufacturing technologies have been the first domain to experience this transformation. The review documents how artificial ...