Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...

A new plasma framework reframes ignition, sustainment, and degradation, redefining energy behavior for next-generation ...

Better understanding of the design, implementation and operation of these cyber-physical systems can enable optimized process ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...

Tampere, Finland, Feb. 11, 2026 (GLOBE NEWSWIRE) -- Unikie's recent Innovation Summit at Nokia Arena brought together companies and experts interested in applying innovative AI solutions in their ...

Discover how alarm data operational intelligence is improving safety, reliability, and performance across complex oil and gas ...

Measuring conditions in volatile clouds of superheated gases known as plasmas is central to pursuing greater scientific ...

Practice projectile motion with fully solved physics problem examples. This video walks through step-by-step solutions to help you understand equations, motion components, and problem-solving ...

Name, image and likeness (NIL) deals have flooded college sports with hundreds of millions of dollars — but universities and team general managers have been operating with little formal oversight, ...

In this work, the authors systematically advance macro-micro integration with feedback (MMIF) as a transformative paradigm for analyzing urban mega-mobility systems, synthesizing the state-of-the-art ...

Thank you, Charles. As we continue to purposely engineer our work to drive higher automation, a lower cost to serve, and improve customer outcomes, all of this is aimed at building the best model for ...