FEMI, an AI model for IVF, uses 18 million images to improve embryo assessment, offering a non-invasive, cost-effective ...

New foundational AI models are accelerating advancements in biomedical research, according to a speaker at Cleveland Clinic’s ...

Summary: Ink authentication is often complicated by tampering, aging, and chemical variability. Now, forensic scientists are ...

Weather prediction systems provide critical information about dangerous storms, deadly heatwaves and potential droughts, ...

The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

HOPPR, a secure AI development platform for medical imaging, today announced the commercial release of its HOPPR Marie Curie Chest Radiography Foundation Model and fine-tuning API for binary ...

Apart from simple diagnosis, the study takes an important step toward predictive health monitoring by modeling the risk of ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached ...

The Kennedy College of Sciences, Miner School of Computer & Information Sciences, invites you to attend a doctoral thesis defense by Madhavi Pagare on "Causal Learning-Enabled Hierarchical ...

A breakthrough study has developed a model that accurately predicts the failure of lithium metal anodes using electrochemical curve data from just the first two cycles. The model offers new insights ...

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...