Mount Sinai scientists built V2P, an AI that links DNA mutations to likely disease types before symptoms appear, speeding ...

Analyzing several major pathology AI models designed to diagnose cancer, the researchers found unequal performance in ...

Tutor’s first product, Cassie, is designed for a relatively simple task — loading and unloading shipping pallets laden with ...

A newly developed AI can predict which diseases specific genetic mutations are likely to cause, not just whether they are ...

Motif-2-12.7B-Reasoning is positioned as competitive with much larger models, but its real value lies in the transparency of ...

The test, developed by Astrin Biosciences, utilizes deep proteomic profiling and a machine learning classifier to identify ...

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to ...

The Messerschmitt Bf 109 is one of the most produced fighters in history, yet only a tiny number of pilots today are qualified to fly it. The reasons reach far beyond age and rarity, rooted instead in ...

Mathbots haven’t done much for K-12 math instruction. Can more sophisticated uses of AI succeed in turning around American ...

Repeatable training means training the AI over and over again in a way that you can do the exact same steps each time. This ...

Future events such as the weather or satellite trajectories are computed in tiny time steps, so the computation must be both ...

Abstract: This paper presents a systematic approach to enhancing ISO 26262, a widely adopted standard for automotive functional safety, by integrating Machine Learning (ML)-specific life cycle phases ...