Raindrops form inside clouds when tiny particles of water collide and stick together, forming larger droplets that eventually ...

Better simulations of raindrop formation could help improve climate and weather models. This newsletter rocks. Get the most ...

Researchers have combined machine learning with portable biosensors to accurately detect a dangerous cyanobacterial toxin ...

A machine learning model adjusts toxin readings for water-quality variability, enabling faster, lower-cost on-site testing without repeated recalibration CHUNGCHEONG PROVINCE, South Korea, July 10, ...

Multiomics data integration with machine learning has become the standard approach for combining genomic, transcriptomic, proteomic, and metabolomic measurements collected from the same biological ...

Testing how quickly a biodegradable plastic actually breaks down in the environment can take months, sometimes years, of lab ...

XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

A large study applies advanced machine learning to identify shared risk factors and predictors of disease onset in patients with epilepsy and depression.

Portable screen-printed carbon electrode (SPCE) biosensors offer a rapid and low-cost way to detect microcystin-lysine-arginine (MC-LR), an extremely potent toxin produced by cyanobacteria during ...

Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...

ACRouter, a new open-source AI router, learns from execution feedback to pick the best coding model per task, cutting costs 2 ...