Machine learning can predict many things, but can it predict who will develop schizophrenia years before the average ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

Using machine learning, an electronic nose can "smell" early signs of ovarian cancer in the blood. The method is precise and, ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...

The historic first image of the Messier 87 (M87) supermassive black hole, captured using the Event Horizon Telescope, has been sharped using a machine learning technique called PRIMO. PRIMO is short ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

Microelectromechanical systems (MEMS) electrothermal actuators are widely used in applications ranging from micro-optics and microfluidics to nanomaterial testing, thanks to their compact size and ...

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...

Princeton has firmly established its presence at the forefront of AI research — including transformative work in humanities scholarship.

Accurately tracking atmospheric greenhouse gases requires not only fast predictions but also reliable estimates of ...