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 ...
Researchers at Stevens Institute of Technology used machine learning tools and social network theory—the study of how people ...
Que.com on MSN
The next frontier of machine learning: 2026 breakthroughs and the rise of world models
The Next Frontier of Machine Learning: 2026 Breakthroughs and the Rise of World Models The landscape of artificial intelligence and ...
9don MSN
Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
Recent advances in machine learning have opened transformative avenues for investigating complex problems in string theory and geometry. By integrating sophisticated algorithms with theoretical ...
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 ...
This study develops an ML-assisted approach for accelerating the discovery of HER electrocatalysts in multi-principal element ...
A machine learning model using routine clinical data more accurately predicted 5-year heart failure risk in patients with CKD ...
Using routine clinical data, the model gauges liver cancer risk better than existing tools, offering a potential way to identify high-risk patients missed by current screening criteria.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results