New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...

Another theory held that the forces between two particles falls off exponentially in direct relationship to the distance between two particles and that the factor by which it drops is not dependent on ...

A machine learning model predicted cardiac tamponade during AF ablation with high accuracy. Learn how XGBoost may improve ...

Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

For roughly a decade, Microsoft has been perfecting a high-density storage technology that uses glass, lasers, and cameras, ...

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

A new study introduces a global probabilistic forecasting model that predicts when and where ionospheric disturbances—measured by the Rate of total electron content (TEC) Index (ROTI)—are likely to ...

Report from wireless connectivity trade body outlines frameworks and priorities needed to scale intelligent Wi-Fi through artificial intelligence and machine learning without industry fragmentation.

Some school district IT teams have been experimenting with using generative AI tools for cybersecurity, for example to ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...