A new consortium co-led by Weill Cornell Medicine has been awarded a five-year, $31 million grant from the NIH’s National Institute of Allergy and Infectious Diseases to accelerate the development of better treatment regimens for tuberculosis.
Researchers are more likely to pen scientific papers with co-authors of the same gender, a pattern not solely due to gender representation across disciplines and time, according to joint research from Cornell and the University of Washington.
A university committee has released recommendations for how faculty can take generative artificial intelligence into account when considering learning objectives for their students.
Researchers have demonstrated the use of artificial-intelligence-selected natural images and AI-generated synthetic images as neuroscientific tools for probing the visual processing areas of the brain.
Cornell researchers have shown that data science and artificial intelligence tools can successfully identify when prosecutors question potential jurors differently, in an effort to prevent women and Black people from serving on juries.
An experiment in which two people play a modified version of the video game Tetris revealed that players who get fewer turns perceive the other player as less likable, regardless of whether a person or an algorithm allocates the turns.
A gift establishing the Professor William Maxwell '56 Fellows will financially support research professors and students affiliated with Cornell's Engineering Innovations in Medicine initiative.
Integrating AI into environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed a growing world population.
Weill Cornell Medicine is dramatically expanding its campus and research footprint in New York City by securing five floors of 1334 York Ave., the current home of Sotheby's auction house.
A research team co-led by Cornell found that for schools without the resources to conduct learning analytics to help students succeed, modeling based on data from other institutions can work as well as local modeling, without sacrificing fairness.