The ability of computers to learn on their own by using data is known as machine learning. It is closely related to ...

FPMCO decomposes multi-constraint RL into KL-projection sub-problems, achieving higher reward with lower computing than second-order rivals on the new SCIG robotics benchmark.

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...

Amid this shift, Interview Kickstart has introduced an advanced machine learning and agentic AI program designed to help ...

Agnik, the global leader of the vehicle analytics market, announced today that it is going to offer a wide range of Deep Machine Learning-based solutions for powering its new and existing products in ...

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

Overview: AI-powered algorithms now drive a major share of global trading activity.Modern trading systems rely more on ...

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

Scientists are trying to tame the chaos of modern artificial intelligence by doing something very old fashioned: drawing a ...

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

Fluid–structure interaction (FSI) governs how flowing water and air interact with marine structures—from wind turbines to underwater cables—and is critical for safe renewable energy development.