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 ...

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 ...

“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.

Cognitive Intelligence Platforms (CIPs) represent the convergence of AI, ML, NLP, and advanced analytics into unified enterprise ...

Choosing the right method for multimodal AI—systems that combine text, images, and more—has long been trial and error. Emory ...

The divergence between the DSPs reveals shifting buy-side priorities. Advertisers are wary of how TTD earns margin and how ...

However, there is still no consensus on the most effective algorithm or model. Objective: To evaluate and compare the performance of existing GDM prediction models constructed using AI algorithms and ...