Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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Through research and education, Bowers CIS is shaping fairer, ethical AI
In its world-class research and teaching, Cornell Bowers CIS is uniquely positioned to guide tomorrow’s innovators as they dive into issues of ethics, fairness and privacy, while weighing the policy implications of technological advances.
NYT: A.I. Program Aims to Break Barriers for Female Students
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.
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.