Is there an AI bubble? No, but some tech companies show signs

The AI sector is not in a bubble market, but the prices of some individual AI companies behave with the price variability and exuberance characteristic of a bubble, according to new Cornell research.

Research Matters returns, following ideas from the lab to real life 

The second season of Research Matters, a Cornell video podcast, drops today, with a way-too-relevant episode on why we don't always do the things we know we should.

At Cornell Bowers, faculty do AI and now staff do too

“We Do AI” was the first educational series at Cornell to provide staff across an entire college with advanced training in how to use AI effectively in their daily workflows.

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Research helps NYC students aim higher in public high school applications

Many New York City eighth-graders – particularly those from underserved communities – aren’t applying to academically competitive high schools where they could succeed, according to new Cornell research.

Cornell Tech’s new faculty are changing how AI learns, reasons, solves problems

Six new faculty members will join Cornell Tech during the coming year, bringing expertise in AI, machine learning, programming languages, and operations research.

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The surprising risks of online passkeys

A Cornell team’s study to see how people identify and protect themselves from malicious use of their online passkeys paints a “grim picture” of people’s ability to alleviate the threat posed by such online invasions of privacy.

Ari Juels receives USENIX Security Test of Time Award

A decade later, his paper is widely recognized as foundational to the field of AI security.

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New program turns minor cheating violations into a learning opportunity

An initiative to handle minor academic integrity violations in classes is rolling out to the entire university in the fall semester after a successful two-and-a-half-year pilot. 

Today’s clicks can reveal tomorrow’s breakthroughs

The trail of likes, shares and downloads we leave across the internet could help predict successful innovations years in advance.