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 ...

Dilaton (EMD) holographic QCD model combined with Bayesian analysis to conduct a detailed investigation into the thermodynamic properties and dissociation processes of heavy quarkonium as it traverses ...

S&P 500 Index’s trailing 10-yr return has edged up since our performance outlook in November but today’s revised forecast for ...

In the first instalment of LCGC International's interview series exploring how artificial intelligence (AI)/machine learning ...

The guidance encourages the use of Bayesian statistics in drug trials. Instead of starting from scratch and only adding new ...

Although humans' visual perception of the world appears complete, our eyes contain a visual blind spot where the optic nerve ...

A recent study suggests that a freely available AI tool could help predict dangerous complications after stem cell transplants.

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

Wayve has launched GAIA-3, a generative foundation model for stress testing autonomous driving models. Aniruddha Kembhavi, Director of Science Strategy at Wayve, explains how this could advance ...

Atopic dermatitis is associated with increased asthma and rhinitis worldwide, according to new global estimates. Learn more.

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