The release of the complete 2026 March Madness bracket, backed by 10,000 simulations, marks a significant milestone in the fusion of sports and data science. As the tournament unf ...

The model has the potential to transform the ability to study telomere biology, learn more about human aging, and ultimately help people preserve better health as they age.

A machine learning model applied to US death certificate data estimated that over 155,000 COVID-19 deaths were unrecognized between March 2020 and December 2021, suggesting total mortality was about ...

The Oxford conference tacked topics like live fact-checking, AI-powered tag pages, and computer vision–based investigations.

Researchers at the Department of Energy’s SLAC National Accelerator Laboratory have built a generative AI model that reconstructs the three-dimensional geometry of molecules from the scattered ion ...

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...

Diginex Limited (NASDAQ: DGNX) today announced that Doctolib SAS, Europe's leading healthcare technology company, entered into a strategic relationship with Plan A, Europe’s leading provider of ...

The Uncertainty Engine is guiding research in fusion plasma physics. Could similar approaches benefit fission research as well?

Machine learning analysis reveals which metrics drive March Madness seeding and predictive analytics in committee decisions.

SingleCell Biotechnology, a biotechnology company developing technologies to measure tumor cell behavior at single-cell resolution, today announced that data from its platform will be presented at the ...

We explore critical stages of M&A transactions and examine how AI is now available for deployment at each stage and the ...

Learn how smart collars and sensors track vitals to ensure a longer, healthier life, and discover how they provide real-time location and peace of mind.