A new AI foundation model from Mass General Brigham may be capable of analyzing brain MRI datasets and predict various ...

Unlike traditional testing, which requires hundreds or thousands of charge – discharge cycles, the model can estimate a new ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

Through its proprietary LTM, ‘NEXUS’, Fundamental reveals the hidden language of tables to unlock trillions of dollars in enterprise value, while a strategic partnership with AWS accelerates adoption ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Researchers at University of Jyväskylä (Finland) advance understanding of gold nanocluster behavior at elevated temperatures ...

Dr. Catherine Prater, postdoctoral researcher at Pennington Biomedical Research Center, has received a two-year fellowship ...

Artificial intelligence has moved from crunching physics data in the background to actively proposing new theories and ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...