AI Research

WashU researchers have developed a method called that ranks AI-based imaging tools for accuracy, even when there’s no known “ground truth” to compare against. In tests, it correctly identified the most precise imaging method 95% of the time.

WashU researchers are training AI agents to screen thousands of chemical possibilities and flag the most promising candidates. One project already found 10 new materials that outperform current water-harvesting tech.

WashU’s Research Development Office is opening a new round of Research Seed Grants this fiscal year that will fund projects that meaningfully integrate artificial intelligence into research.

The research finds that LLM-generated pre-bunking significantly reduced belief in election rumors and modestly offset declines in confidence in national election administration.

This summer, WashU’s Digital Transformation Research Corps paired faculty researchers with student developers and designers to turn ambitious research questions into working prototypes.

A global consortium co-founded by WashU Medicine and directed by neurologist Randall J. Bateman, MD, brings together members from academia, major pharmaceutical companies and philanthropic organizations.

A team of computer scientists in Nathan Jacobs’ lab has developed a model that learns to detect fake images by learning which are real.

Programs that analyze eye images could also speed up drug trials, study finds.

WashU Medicine researchers developed an AI classifier that can accurately distinguish among several major neurodegenerative diseases.

Submissions to Organization Science have risen 42% since the late 2022 release of ChatGPT, but quality is down, according to a new study.