Learn how AI medical discovery is bridging the gap between lab research and bedside treatments, resulting in faster and more ...

When an algorithm exploits, it risks missing out on a better option or failing to adapt to a changing environment. Anyone who ...

Doctors and patients are gaining an edge in the fight against Alzheimer’s disease by catching early warning signs with new screening methods.

Personalized algorithms may quietly sabotage how people learn, nudging them into narrow tunnels of information even when they start with zero prior knowledge. In the study, participants using ...

Researchers develop an interpretable hybrid feature selection model to overcome the "curse of dimensionality"in genomic ...

Colorado would restrict companies’ use of algorithms to set worker wages and consumer prices based on individuals’ personal ...

Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way ...

Abstract: This paper presents a novel approach to designing reconfigurable antenna using genetic algorithms (GAs) and accurate PIN diode modeling. The method integrates TRL calibration for precise ...

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...

There are hundreds of cell types in the human body, each with a specific role spelled out in their DNA. In theory, all it takes for cells to behave in desired ways—for example, getting them to produce ...

Kshitij Rai and Ronan O’Connell, co-first authors on the study, worked on the project during their time as doctoral students in Caleb Bashor's laboratory at Rice University. HOUSTON – (Jan. 14, 2026) ...