A research team used flowering data from 169 rice genotypes—each with over 700,000 SNP markers—across multiple environments ...

New method using Raman spectroscopy and machine learning estimates organic maturity in rocks, crucial for oil exploration, ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

This focus on bias-aware ML pipelines translates directly into interview readiness. FAANG interviews often include questions on fairness and ML system design, candidates can expect to be grilled on ...

Advancements in biomedical technologies have significantly facilitated the diagnosis and monitoring of diseases. Nonetheless, traditional diagnostic ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, ...

The most powerful applications of artificial intelligence (AI) aren't emerging from speculative start-ups but from within America's most established industries. While Wall Street chases tech stocks ...

Nitrogen fertilizers used in agriculture contribute significantly to global warming. A new breeding concept, specifically for wheat, could help reduce nitrogen fertilization. This holobiont principle ...