The Emerging Tech Dialogues event on May 29, 2024 — the first in a new series — drew more than 750 registrations from Cornell, Weill Cornell Medicine, and Cornell Tech faculty, staff, students, and researchers — all interested in exploring Artificial Intelligence in Higher Education, the symposium’s theme.
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Twin Bowers CIS Entrepreneurs Bring AI to Academica
Twins Alsa Khan and Muhammad Jee explain how their AI platform, Mr. EzPz, could help to make artificial intelligence more reliable for students as well as educators.
Cornell Keynotes podcast: Current trends in generative AI tech
Karan Girotra, a professor at the Cornell SC Johnson College of Business and Cornell Tech, explains the current capabilities of AI and shares newsworthy updates about the technology on the Cornell Keynotes podcast.
Quantum AI framework targets energy intensive data centers
A new quantum computing-based optimization framework developed at Cornell could reduce energy consumption in large data centers handling artificial intelligence (AI) workloads by as much as 12.5% and reduce their carbon emissions by as much as 9.8%.
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.