Discover why some puzzles stump supersmart AIs but are easy for humans, what this reveals about the quest for true artificial ...

Machine learning helps improve accuracy and efficiency of small-molecule calculations Microsoft researchers used deep learning to create new DFT model by Sam Lemonick, special to C&EN June 20, 2025 ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the fly—a step toward building AI that continually improves itself.

One of the current hot research topics is the combination of two of the most recent technological breakthroughs: machine learning and quantum computing. An experimental study shows that already ...

SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes ...

As part of Advancing Drug Discovery: A Webinar Series of the National Academies of Sciences, Engineering and Medicine, a session on Quantum Computing-Enhanced Machine Learning Algorithm Unveils Novel ...

Researchers from MIT, Microsoft, and Google have introduced a “periodic table of machine learning” that stands to unify many different machine learning techniques using a single framework. Their ...

This consists of 15 biochemical tests, including serum phosphate. Our aim was to understand if abnormalities in serum phosphate could be predicted, using a machine learning algorithm (MLA) by other ...

It utilizes advanced adaptive algorithms, aiming to redefine mathematics instruction and impact students, teachers, and parents.

This article explores the top 10 ML algorithms essential for quality assurance, from Decision Trees for defect prediction to Neural Networks for automated test generation, helping test engineers ...

A novel causal machine learning algorithm can determine which patients with atrial fibrillation (AFib) are more likely to benefit from left atrial appendage occlusion (LAAO) compared with ...