Fight or flight: Serotonin neurons prompt brain to make the right call

Known for its role in relieving depression, the neurochemical serotonin may help the brain execute instant, appropriate behaviors in emergency situations, according to a new Cornell study Feb. 1 in Science.

‘Deep tech’ innovations require industry partnerships

Creating new opportunities for industry partnerships and increasing engagement with the world beyond the lab could help researchers make a broader impact and meet grand challenges, said speakers at the “Deep Tech Eats Social Media for Lunch” panel, held Jan. 28 in the Upson Hall lounge.

Study: AI may mask racial disparities in credit, lending

A method intended to evaluate racial disparities in lending decisions can yield very different results depending on tiny changes in how it guesses applicants’ races, according to a new Cornell-led study.

Charting a ‘map’ for determining negative thermal expansion

Negative thermal expansion, or NTE, is a rare but important phenomenon, and Cornell researchers have developed a better “map” for finding NTE in materials.

Students develop augmented reality software to help those with hearing loss

Two Cornell Tech master’s students have developed a prototype for augmented reality headsets to help people who are deaf or hard of hearing navigate one-on-one conversations.

AI adjusts for gaps in citizen science data

Citizen science databases can be inconsistent, but Cornell researchers have developed a deep learning model that effectively corrects for location biases, leading to more reliable predictions.

Engineers’ plan would avert NYC’s dreaded L train shutdown

Gov. Andrew Cuomo has enlisted engineering professors from Cornell and Columbia to help solve a problem that threatened to cause an extended shutdown of a busy New York City subway line.

Margaret Martonosi ’86 visits as A.D. White Professor-at-Large

Computer scientist Margaret Martonosi '86 will interact with students and faculty Jan. 22-26 as an Andrew Dickson White Professor-at-Large.

Predicting future combos, from rap songs to pharmaceuticals

Cornell researchers have developed an algorithm to predict which groups are likely to work together in the future based on their past partnerships.