News

AI analyses handwriting to spot early dyslexia signs: Study
5/30/25
Happiest Health reported on a UB study, led by Venu Govindaraju, that is developing AI tools to detect dyslexia and dysgraphia from children’s handwriting.
“Truth is the casualty”: How Indian fact-checkers debunked false claims during the India-Pakistan crisis
5/29/25
Reuters reported that fact checkers working for Indian media outlets utilized UB’s DeepFake-o-Meter, developed by Siwei Lyu and his lab, to debunk misinformation during the current India-Pakistan crisis.
AI model identifies origin of 3D printed parts with 98% accuracy in new research
5/27/25
3D Printing Industry referenced a research development from UB, led by Zhanpeng Jin, that can trace the origin of 3D printed parts.
Video of Pope Leo XIV denouncing Vance is fake
5/27/25
Agence France-Presse quoted Siwei Lyu in an article about an AI-generated video showing Pope Leo XIV chastising U.S. Vice President JD Vance for his response to former President Joe Biden’s prostate cancer diagnosis.
How AI can help detect dyslexia in children
5/23/25
The Star featured a study led by Venu Govindaraju on the use of artificial intelligence in the early detection of dyslexia and dysgraphia in children.
Siwei Lyu named SUNY Distinguished Professor
5/23/25
SUNY Distinguished Professor is the highest faculty rank in the SUNY system.
Video shows the Qatari emir saying, “I truly regret inviting Trump, the robber, to the Middle East.”
5/21/25
Politifact quoted Siwei Lyu in an article fact-checking a video of a Qatar emir saying that he regrets inviting Trump to the Middle East as doctored.
Fact Check: AI Video Does NOT Authentically Show RFK, Jr. Saying China adds 'Gay Chemicals' and 'Fruity Piña Colada Flavoring Agent' To Vapes
5/20/25
Lead Stories utilized the DeepFake-o-Meter, developed by Siwei Lyu and his team in the Media Forensic Lab, to prove that a video showing Robert F. Kennedy Jr. testifying before Congress regarding China and vaping chemicals is AI-generated.
AI-Powered Handwriting Analysis: A Breakthrough in Early Dyslexia Detection
5/15/25
A UB-led study is outlining how artificial intelligence-powered handwriting analysis may serve as an early detection tool for dyslexia and dysgraphia among young children.
The key to spotting dyslexia early could be AI-powered handwriting analysis
5/14/25
AI shows promise detecting dyslexia and dysgraphia from what children write on paper and tablets, a new University at Buffalo-led study suggests.

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