Understanding molecular diversity is fundamental to biomedical research and diagnostics, but existing analytical tools ...

A multinational collaboration at Eitri medical innovation center in Bergen, Norway, has used machine learning models to identify patient groups at risk of being mistreated.

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, ...

Machine learning is expanding scientists’ catalogs of quakes and refining maps of underground faults. It also promises to ...

As the world becomes more interconnected, some plants have benefited from a greater ease in movement from one region to ...

Kernel methods represent a cornerstone in modern machine learning, enabling algorithms to efficiently derive non-linear patterns by implicitly mapping data into high‐dimensional feature spaces. At the ...

Trajectories of the vehicle-borne experiment on Google earth. Panel a Presents the overall bird’s eye view of the experiment, while panels b and c are the snapshots of the vehicle starting and driving ...

Implementing AI and machine learning solutions for detecting railroad trespassers offers substantial benefits, with ...

The drug development pipeline is a costly and lengthy process. Identifying high-quality "hit" compounds-those with high potency, selectivity, and favorable metabolic properties-at the earliest stages ...

Temporary drops in milk yield can hide a cow’s true potential. Characterizing perturbations not only helps measure the real ...