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

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 ...

Researchers from the University of South China and Purdue University have developed ultra-high strength, high-ductility steel ...

Background Transcatheter aortic valve replacement (TAVR) has increasingly emerged as one of the primary treatments for ...

Although AI is not intentionally biased, it can inherit biases from the data fed into it, learning and repeating them until ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs less, resists rust, and ...

A machine-learning strategy has generated a new class of ultra-high strength and ductility steel for 3D printing that costs ...

Christine Allen, CEO and Co-Founder of Intrepid Labs, and Andy Lewis, CSO at Quotient Sciences, highlight their strategic partnership to accelerate drug product development with AI and ML technologies ...

Published in Eng, the study titled “Hybrid Smart Energy Community and Machine Learning Approaches for the AI Era in Energy Transition” introduces the Hybrid Smart Energy Community (HySEC) model, a ...

Developing and Validating a Machine Learning Algorithm to Predict the Risk of Incident Opioid Use Disorder Among OneFlorida+ Patients: Prognostic Modeling Study ...

You're probably a little tired of reading or hearing about AI, right? Well, if that's the case, then you're in the right place because here, we're going to talk about machine learning (ML). Yes, it's ...