Models feel hemmed in by AI

Using generative AI, fashion designers can use digital photos to adjust models’ features and even deploy fully digital avatars in place of humans. A team including an ILR School researcher has written a paper highlighting models’ challenges.

Cornell awarded NSF grant to build AI-ready living lab for agriculture

Cornell University has been awarded a portion of a $2 million planning initiative from the U.S. National Science Foundation to establish AI4Ag, a national testbed for artificial intelligence in agriculture.

Around Cornell

Familiarity breeds success for fledgling companies

Teams featuring at least one “stranger” – someone unknown by the team before its formation – are more than twice as likely to fail as teams of friends, family members or co-workers, a new study out of the Nolan Hotel School has revealed.

Tiny explosions, soft materials make onscreen braille more robust

By combining the design principles and materials of soft robotics with microscale combustions, researchers created a high-resolution electronic tactile display that can operate in messy, unpredictable environments.

‘Bottling’ human intuition for AI-led materials discovery

A Cornell researcher and collaborators have developed a machine-learning model that encapsulates and quantifies the valuable intuition of human experts in the quest to discover new quantum materials.

Midwest art installation pushes boundaries of urban space

For Exhibit Columbus - a prominent stage for emerging designers - Michael Jefferson and Suzanne Lettieri used chromakeyed colors to create an "urban cinema screen" at a downtown plaza.

Key DNA-repair pathway repurposed when gut pathogens invade

A new study in fruit flies describes how an animal’s gut reacts differently to beneficial microbes versus harmful pathogens.

Students' color-changing tomato reaches national contest finals

An invention developed by two graduate students turns engineered tomato plants red when soil nitrogen levels are low. 

The speed trap: why leaders’ quick pivots can seem inauthentic

New research from Cornell SC Johnson College of Business shows that while employers’ quick responses to feedback might seem efficient, employees can interpret them as inauthentic and may not want to offer feedback in the future.