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Cornell Tech Viewbook

Explore our latest campus viewbook to learn more on how we drive the future of artificial intelligence at the heart of New York City.

Greg Morrisett, the Jack and Rilla Neafsey Dean and Vice Provost of Cornell Tech, has been named interim co-director of the New York Center for AI Responsibility and Research, a new statewide initiative launched by New York Gov. Kathy Hochul, at right, to advance artificial intelligence science and safety.

Cornell Chronicle

AI

Greg Morrisett to Co-Lead New NYS AI Safety Research Center

Mohamed Abdelfattah

Startups

News

Cornell Tech Professor’s Startup Receives $1.75 Million to Improve AI Efficiency

Cornell Chronicle

AI

AI-Enhanced Petitions on Change.org: More Text, Less Success

September 22, 2026

Cornell Tech Welcomes 13 Startups Changing How We Live, Work, and Heal

September 3, 2026

The Science Behind the Scroll: Donghui Li’s Path from Cornell Tech to TikTok

August 27, 2026

Campaign Closes With Record Support for Students and Research

August 26, 2026

‘Hitting Dead Ends and Rethinking Everything’ – Bure Summer Scholars Explore Research Life

August 25, 2026

Research Matters Returns, Following Ideas From the Lab To Real Life

August 18, 2026

Research Helps NYC Students Aim Higher in Public High School Applications

August 17, 2026

Cornell Tech’s New Faculty Are Changing How AI Learns, Reasons, and Solves Problems

August 13, 2026

The Surprising Risks of Online Passkeys

August 12, 2026

Ari Juels Receives USENIX Security Test of Time Award

August 5, 2026

Tree-Focused Tech Aims to Bring More Shade to Vulnerable New Yorkers

Media Highlights

Bloomberg Law

Ripple Ruling Blurs Definition of Cryptocurrencies as Securities

Mental Daily

Study Takes A Closer Look At NYPD Patrol Patterns Using Dashcam Footage

Tech Policy Press

Content Moderation, Encryption, and the Law

Princeton University

Tech Expert Arvind Narayanan Takes the Helm at Princeton Center for Information Technology Policy

Marktechpost

A New AI Research from Stanford, Cornell, and Oxford Introduces a Generative Model that Discovers Object Intrinsics from Just a Few Instances in a Single Image