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

This issue aims to showcase how machine learning (ML) and Artificial Intelligence (AI) approaches can be used with real world data (RWD) sources to generate ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in ...

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

Explore the Types of Machine Learning and their impact on AI. Learn how these core frameworks drive digital innovation and ...

Mount Sinai researchers have created an analytic tool using machine learning that can predict cardiovascular disease risk in patients with obstructive sleep apnea ...

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed a hybrid modeling approach that combines algal movement simulations, AI, ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

Building the technology is one challenge, but understanding why it matters and how to apply it to construction is another.​ ...

Drug resistance remains a central barrier to durable responses across cancer therapies, spanning targeted agents, cytotoxic chemotherapy, endocrine ...

Today, UC San Diego’s Scripps Institution of Oceanography and San Diego Zoo Wildlife Alliance (SDZWA) announced a formal ...

Scientists train living rat neurons to perform real-time AI computation, marking a breakthrough in bio-hybrid computing systems.