In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...

Training a large artificial intelligence model is expensive, not just in dollars, but in time, energy, and computational ...

Many technical recruiters and IT hiring managers advise that certifications carry more value for entry-level and low-level IT pros than they do for workers with more experience. The obvious exceptions ...

A new AI-enhanced framework combines machine learning validation with life-cycle assessment to cut plastic waste emissions by ...

David J. Silvester, a mathematics professor at the University of Manchester, has developed a novel machine-learning method to ...

A firefly-inspired AI framework makes atomic structure prediction more robust by combining multimodal search with an uncertainty-aware machine learning technique. The method improves efficiency for ...

The study, titled “Artificial Intelligence and Cost Reduction in Public Higher Education: A Scoping Review of Emerging Evidence,” s ystematically analyzes how AI is being used to reduce costs and ...

As AI's integration in the process of designing and improving industrial infrastructure progresses, governance needs to ...

Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...

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Researchers have developed a powerful machine learning framework that can accurately predict and optimize biochar production from algae, offering a faster and more sustainable path toward carbon rich ...

Abstract: This article presents a generative machine learning (ML) framework for the automated design and optimization of filtering antennas, a class of antennas that requires the simultaneous control ...