Finding the right information at the right time is critical for solving complex problems. Researchers have developed an algorithm that helps ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...

Abstract: In this article, a strategy combining reinforcement learning (RL) and model predictive control (MPC) is proposed to achieve the integrated planning and control in static unknown environment.

Abstract: Motion cueing algorithm aims to replicate realistic motion sensations for drivers while adhering to the physical limitations of the simulation platform. Model Predictive Control has been ...

Robot legs developed by SUSTech researchers reduce walking effort by 35% and cut foot pressure in half when carrying heavy ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

“Industrial AI must start with trusted data,” said Steve Mason, COO of Canary Labs. “Our historian has long been the foundation for operational visibility. By natively integrating with SORBA.ai’ SORBA ...

When legislative, judicial and regulatory functions converge in technical infrastructure controlled by few actors, the system enhances those actors' power.