The rapid advances in machine learning (ML) and artificial intelligence (AI) are transforming biology and opening new directions for scientific inquiry.

Can machine learning automatically detect important changes in a material’s Fermi surface from complex and noisy data?

During an April 2 showcase event, Research Track students presented the work they developed over the two quarters. The 12 ...

Jian Jiang's team at the Institute of Chemistry, Chinese Academy of Sciences, recently published an article that focuses on the core bottlenecks of ...

Environmental journalists are pairing satellite imagery and machine learning to expose illegal mining across the Amazon.

Ineffable Intelligence, a British AI lab founded a mere few months ago by former DeepMind researcher David Silver, has raised ...

In 2016, an AI program he developed at Google DeepMind, AlphaGo, taught itself to play the famously difficult game of Go with ...

Recent research is advancing seismic hazard modeling through AI-driven soil liquefaction prediction, interpretable machine learning, physics-based simulations, and waveform-based probabilistic ...

Recent studies indicate that combining AI’s analytical capabilities with human expertise can improve the accuracy and effectiveness of student success initiatives. Interpretable machine learning ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

A new review in Science China Life Sciences examines how machine learning and host-microbiome multi-omics can be combined to better understand health and disease. The article outlines the road from ...