Model predicts effect of mutations on sequences up to 1 million base pairs in length and is adept at tackling complex ...

Artificial intelligence has gotten a bad reputation lately, and often for good reason. But a team of scientists at Google’s ...

The tool helps scientists understand how single-letter mutations and distant DNA regions influence gene activity, shaping ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

New research shows learning erosion is real—but evidence-anchored design, governance, and assessment can turn AI into an ...

A deep learning model using retinal images obtained during retinopathy of prematurity (ROP) screening may be used to predict diagnosis of bronchopulmonary dysplasia (BPD) and pulmonary hypertension ...

The development of humans and other animals unfolds gradually over time, with cells taking on specific roles and functions ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

An innovative and scalable proximity labelling method profiled proteins present in the Caenorhabditis elegans brain during learning, identifying known regulators as well as novel biological pathways.

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

CMU’s learning initiatives are shaped by research on how people learn, rather than by any single discipline. That approach ...