Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

Class Disrupted is an education podcast featuring author Michael Horn and Futre’s Diane Tavenner in conversation with educators, school leaders, students and other members of school communities as ...

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

CHICAGO--(BUSINESS WIRE)--Infleqtion, a global leader in quantum computing and quantum sensing, today announced it has executed its contract with the U.S. Department of Energy’s Advanced Research ...

Dublin, Feb. 06, 2026 (GLOBE NEWSWIRE) -- The "United Kingdom Loyalty Market Size & Forecast by Spend Value Across 100+ KPIs by Program Type, Channel Mix, Sector, Embedded Loyalty Penetration, and ...

U.S. Army Gen. James J. Mingus speaks with soldiers assigned to the Artificial Intelligence Integration Center, July 2024. (Spc. Rebeca Soria/Army) The Army on Tuesday announced that it is standing up ...

In the back half of 2025, a slew of organizations announced forthcoming artificial intelligence certification programs that would offer providers and developers the opportunity to align their AI ...

York College of Pennsylvania will offer a new lifelong learning program for older adults, according to a news release. The initiative, which will officially launch on Jan. 5, 2026, will help to enrich ...

The landscape of enterprise data strategy has undergone a remarkable transformation in recent years, driven by the rapid advancement of artificial intelligence and particularly machine learning ...

Machine learning models are increasingly applied across scientific disciplines, yet their effectiveness often hinges on heuristic decisions such as data transformations, training strategies, and model ...