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Artificial Intelligence

Weill Cornell Medicine investigators used AI to discern subtypes of Parkinson's disease from diverse data sources. Credit: Shutterstock

New Algorithm Lets Neural Networks Learn Continuously Without Forgetting

A new study by Guenevere Chen, an assistant professor in the UTSA Department of Electrical and Computer Engineering, and her former doctoral student, Qi Xia, reveals an oversight in AI image recognition tools. The researchers identified and exploited an alpha channel attack on images by developing AlphaDog.

Researchers Uncover Critical Flaw in AI Image Recognition Tools

abstract illustration of computer code

AI Models Revolutionize Plasma Heating Predictions for Fusion Research

ambulance at hospital

When it comes to emergency care, ChatGPT overprescribes

dots

AI Model Identifies Potential Treatments for Thousands of Rare Diseases

20 most- and least-impacted occupations ranked by the AII (Artificial Intelligence Impact) measure.

AI’s Uneven Impact: Study Reveals Most and Least Affected Occupations

The picture on the left was generated by a standard method while the picture on the right was generated by ElasticDiffusion. The prompt for both images was, “Photo of an athlete cat explaining its latest scandal at a press conference to journalists.” (Image courtesy of Moayed Haji Ali/Rice University)

Rice research could make weird AI images a thing of the past

galaxy seen from the side

New AI Distinguishes Dark Matter from Cosmic Interference

A researcher at Binghamton University, State University of New York has developed a tool to root out bogus, AI-generated research articles.

New AI Tool Detects Fake Scientific Articles with 94% Accuracy

virtual neurosurgery simulator

AI Outperforms Human Instructors in Neurosurgical Training Study

Video: Wirestock/Creatas Video+/Getty Images Plus

New AI Tool Rivals Human Experts in Cancer Diagnosis and Prognosis

Illinois researchers have opened up the AI "black box" to gain valuable new insight about chemistry for solar energy applications. Pictured, from left: Professor Charles Schroeder, graduate students Changhyun Hwang and Seungjoo Yi, professor Ying Diao, professor Nick Jackson and graduate student Tiara Torres Flores. Photo by Michelle Hassel

AI Unveils Chemical Secrets for Solar Energy: Turning the Black Box Transparent

Ohio State logo

A human-centered AI tool to improve sepsis management

An infographic showcasing the methodology behind the Simulation-Based Inference of Galaxies (SimBIG) project.

AI Unlocks Hidden Data to Refine Universe’s ‘Settings’

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