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 ...

R is regaining attention in 2026, especially in statistics-heavy and research-focused data science work.Python still leads in ...

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

Advita Ortho, a global medical technology leader, presented 16 new research studies at the 2026 Orthopaedic Research Society (ORS) Annual Meeting highlighting how artificial intelligence, machine ...

As climate change intensifies harmful algal blooms worldwide, an international team led by Hiroshima University has developed ...

This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element ...

There is an exciting future on the horizon—one in which your thoughts could directly control electronic devices you use every ...

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

The terms get mixed up constantly. In boardrooms, in classrooms, in startup pitches, even in technical documentation.You’ll hear someone say “AI system” when they really mean a predictive model.

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

A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...

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