Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...

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

A mathematics professor at The University of Manchester has developed a novel machine-learning method to detect sudden changes in fluid behaviour, improving speed and cost of identifying these ...

In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...

NEW YORK, April 8, 2026 /PRNewswire/ -- ACM, the Association for Computing Machinery, today named Matei Zaharia as the recipient of the ACM Prize in Computing for his visionary development of ...

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

A new study has shown that biochar, a carbon-rich material produced from biomass, can significantly reduce phosphorus losses ...

Cyber threats are increasing in speed and complexity, driving the need for advanced detection techniques. Machine learning is ...