A Radical Collaboration
Cornell’s AI Initiative is a university-wide radical collaboration designed to deepen opportunities in the development and application of AI within the field, and across AI-related, and AI-influenced fields.
Research happening across the Ithaca campus, as well as with Cornell Tech and Weill Cornell Medicine in New York City, is bringing AI, machine learning, and data science to bear in areas and applications including: sustainable agriculture; improved urban design and infrastructure; and personalized, precision medicine and health.
In addition, Cornell is leveraging its strengths in philosophy, ethics, fairness and public policy to not only shape, investigate and utilize AI, but also to consider its profound ramifications on society.
Our vision of AI is one that tightly integrates the development of algorithmic AI capabilities with how AI technology engages with humans, society, and applications.
Cornell AI News
Cornell AI Events
Cornell AI News
Bowers faculty outline priorities for federal funding in AI
Artificial intelligence (AI) is reshaping economic systems, geopolitics, and society—and its transformative influence is set to deepen in the years ahead. The United States’ leadership in AI follows a similar blueprint to previous technological revolutions—such as semiconductors and the Internet—where federal investments played a catalytic role.
New ‘Thought Summit’ series welcomes proposals on data science and AI
Cornell faculty are invited to submit proposals for Thought Summits, a new forum designed to catalyze interdisciplinary research in data science and artificial intelligence (AI) and to position Cornell as a national leader in these rapidly evolving fields. Proposals will be accepted through June 16.
Cornell AI Events
Machine Learning in Medicine
June 6 @ 10:00 am - 11:00 amVirtual lecture series on topics across machine learning in medicine, featuring extensive Q & A and panel discussions.
Meet the experts
Cornell researchers working on AI reflect its all-encompassing nature. Through science, scholarship, innovation and entrepreneurialism they are working to advance the development of algorithmic AI capabilities as well as studying how AI technology engages with humans, society, and applications.
These are some of Cornell’s leaders in the field of AI.
Thorsten Joachims
College of Arts and Sciences, Cornell Bowers CIS, Cornell Engineering
Focus areas: Machine Learning, Reasoning, Society & Institutions
Recent research: Fairer ranking system diversifies search results
Deborah Estrin
Cornell Bowers CIS, Cornell Tech
Focus areas: Ethics, Law, and Policy, Health and Medicine, Machine Learning, Scientific Discovery
Recent research: Estrin, health tech pioneer, wins von Neumann medal
Jesse Goldberg
College of Arts and Sciences
Focus areas: Health and Medicine, Machine Learning
Recent research: Fruit flies use two muscles to control pitch for stable flight
Hadas Kress-Gazit
Cornell Engineering
Focus areas: Autonomous Systems, Machine Learning
Recent research: Soft robots use camera and shadows to sense human touch
Carla Gomes
Cornell Bowers CIS, Dyson School of Applied Economics and Management
Focus areas: Scientific Discovery, Society & Institutions
Recent research: AI enables strategic hydropower planning across Amazon basin; DRNets can solve Sudoku, speed scientific discovery
Join Us
The AI Radical Collaboration provides enhanced startup packages, bridge funding, as well as general recruiting support and coordination to hire outstanding candidates for all Cornell colleges in both Ithaca and NYC.