How an excessive focus on methods has distracted attention from the more fundamental challenge of building rigor and learning ...

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...

Traditional computational electromagnetics (CEM) methods—such as MoM, FEM, or FDTD—offer high fidelity, but struggle to scale ...

Growing up multiracial in the 1990s, Gabriel "Joey" Merrin regularly encountered demographic forms that forced an impossible choice: Pick one box. Deny the others. "That act of being forced to choose, ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

In A Nutshell Harvard researchers developed BrainIAC, a single AI model that can be adapted to analyze brain scans for ...

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

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

BrainIAC is an innovative AI foundation model developed by Mass General Brigham that was trained on nearly 49,000 brain MRI ...