Researchers are increasingly turning to artificial-intelligence tools that can handle complex, multi-step processes.

Serendipitous meetings, scholarly collaborations, and an ethos of "encouraging junior faculty to think big" laid the groundwork for groundbreaking achievement in AI.

Delphi-2M is the first open source, large-scale model for predicting a patient’s disease risk and when it may occur.

This FAQ explores the fundamental architecture of neural networks, the two-phase learning process that optimizes millions of parameters, and specialized architectures like convolutional neural ...

RIT computing students and Professor Rui Li are working on a National Institutes of Health-funded project to use AI in disease pathway discovery.

It’s time to rethink Bloom’s ladder. Learning is mastery, made observable in the ways students act, adapt, and solve problems.

Trained on quantum data, a new model makes computations more accurate while keeping computer costs low ...

Satellite imagery and machine learning (SIML) are increasingly being combined to remotely measure social and environmental outcomes, yet use of this technology has been limited by insufficient ...