A new program, backed by Cornell Tech, M.I.T. and U.C.L.A., helps prepare lower-income, Latina and Black female computing majors for artificial intelligence careers.
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Projects funded by 2024 New Frontier Grants look toward the future
The College of Arts and Sciences has awarded five New Frontier Grants to cutting edge projects in science, social science and the humanities led by A&S faculty, some with collaborators from other colleges.
AI may improve doctor-patient interactions for older adults with cancer
Researchers have developed an AI tool that uses machine learning and large language models to identify treatment options based on patients’ diagnoses, demographic information and priorities.
Students win NASA grant to develop AI for safer aerial traffic
The skies may soon be congested with drone traffic. A multidisciplinary team received a grant from NASA to develop new models to coordinate these drones, which may someday deliver packages – or even people.
Newest EEG lab empowers faculty from multiple disciplines
Cornell’s newest interdisciplinary EEG lab could help faculty make breakthroughs in fields ranging from psychology to neurology to artificial intelligence.
Dead & Company concert funds $800K for new climate solutions
One year since Dead & Company’s iconic show at Barton Hall, proceeds from the fundraiser have begun to flow to its climate-fighting recipients.
Robotic system feeds people with severe mobility limitations
Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
Machine Learning Study Offers Clues to Why Some People Have Rheumatoid Arthritis Pain Without Inflammation
A new study supported in part by NIH and reported in Science Translational Medicine suggests that in some people with RA, the joint lining may direct the growth of pain-sensing neurons to cause pain in the absence of inflammation. This discovery, made possible with the help of machine learning, suggests potential new ways to treat this painful disease.