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

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 ...

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

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

Enabled Digital Twins in Agriculture,” published in the journal AI , provides a comprehensive scoping review of digital twin technologies in precision agriculture, examining how AI, machine learning, ...

Artificial intelligence and the internet of things are reshaping enterprise strategy across industries. From predictive ...

Advances in instrumentation, modeling and control are more fully understood and utilized when assisted by first-principle, ...

Microdramas, predictive modeling and generative AI are moving audience data upstream — reshaping how stories are imagined, financed and greenlit across Hollywood ...

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

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

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

“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 ...