AI News + Events
The latest AI breakthroughs, news, and events across Cornell.
Event Spotlight
AI4AI Seminar Series
The AI4AI seminar series will occur on the second Friday of each month this fall.
The AI4AI Seminar Series is part of the Assured Integrity for AI-Based Software (AI4AI) initiative led by Cornell faculty by Alexandra Silva and Vitaly Shmatikov. The series brings together researchers and practitioners to discuss emerging challenges and advances in AI security, assurance, and trustworthy AI systems.
Location: Computing and Information Science Building room 350, Ithaca Campus
Click here to attend via Zoom
The AI4AI seminar series will occur on the second Friday of each month this fall.
Date: September 11, 2026
Time: 3-4 p.m.
Speaker: Guy Amir, postdoctoral researcher, Department of Computer Science, The University of Texas at Austin
Title: Verifiable Fault Tolerance in AI Training
Date: October 9, 2026
Time: 3-4 p.m.
Speaker: Stefan Zetzsche, Applied Scientist, Automated Reasoning Group, Amazon Web Services
Title: Dogwood: Runtime Verification for AI Agents
Date: November 13, 2026
Time: 3-4 p.m.
Speaker: TBD
Title: TBD
Date: December 11, 2026
Time: 3-4 p.m.
Speaker: TBD
Title: TBD
Are mental health apps like doctors, yogis, drugs or supplements?
Cornell researchers are recommending new guidelines for developing safe and responsible large language model-based mental well-being apps by consulting relevant experts and reviewing existing state and federal regulations.
Experts to examine the use of generative AI in science
The Assessing and Imagining the Impact of Generative AI on Science Symposium, March 3-5, will feature experts from across academia and industry engaging in discussions on the use and implications of generative AI.
Hackathon winners combat ear infections, parasites and animal overpopulation
Products to fight ear infections in dogs, a parasite in cattle and animal population control challenges won top honors at the Feb. 20-22 Animal Health Hackathon at the College of Veterinary Medicine.
AI reveals chemistry behind high-performance battery electrolytes
A new artificial intelligence framework developed at Cornell can accurately predict the performance of battery electrolytes while revealing the chemical principles that govern them, providing engineers with a new tool for designing better batteries.
Cornell Tech names Chief of Health Innovation, launches Health Tech Hub Advisory Committee
Cornell Tech has appointed Tanzeem Choudhury as its Chief of Health Innovation and has formed a new Health Tech Hub Advisory Committee composed of leaders from across the healthcare industry.
Robotic medical crash cart eases workload for healthcare teams
Researchers have unveiled a robotic crash cart that uses verbal and visual cues to help healthcare teams access the right tools — fast.
11 new researchers become Eric and Wendy Schmidt AI in Science Postdoctoral Fellows
The new cohort will investigate the use of AI to advance exploration in science, technology and engineering.
MathGPT founders say site boosts students’ skills, confidence
The founders of MathGPT are featured on the January episode of the Startup Cornell podcast.
‘Rosetta stone’ for database inputs reveals serious security issue
The data inputs that enable modern search and recommendation systems were thought to be secure, but an algorithm developed by Cornell Tech researchers successfully teased out names, medical diagnoses and financial information from encoded datasets.
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