Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

The recently published 2025 Machine Learning Emotional Footprint Report from global IT research and advisory firm Info-Tech Research Group highlights the top machine learning platforms that help organ ...

Eggs are more than just a breakfast staple – they’re a global nutritional powerhouse packed with essential vitamins, minerals ...

Machine learning tools can accelerate all stages of materials discovery, from initial screening to process development.

Cancer researchers at the University of Tennessee Health Science Center have published three new studies demonstrating how ...

Researchers have developed a novel approach to detect ALS and predict survival by measuring genetic activity in blood cells, a study found.

What will be the next blockbuster research to emerge from Princeton’s labs? No one can say for sure, but history tells us ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 Mac Minis.

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Investigations suggest V2P may be efficiently applied for the automated identification of causal variants in simulated and actual patient sequencing data across phenotypes.