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The Cornell Institute for Digital Agriculture (CIDA) has announced the recipients of its 2025 Research Innovation Fund (RIF) faculty and student grants supporting new, cross-disciplinary research projects designed to improve global food systems through digital innovation.
Cornell Tech has announced the appointment of Fei Wang, professor at Weill Cornell Medicine, as the new Senior Faculty Fellow in Clinical AI. The newly established role will strengthen Cornell Tech’s leadership in digital health and artificial intelligence, while also expanding interdisciplinary collaboration between Cornell Tech and Weill Cornell Medicine.
Cornell Tech Assistant Professor Raaz Dwivedi has co-founded Traversal, a startup emerging from stealth this week with a mission: to transform how modern software systems detect and resolve outages using artificial intelligence.
Hosted by Cornell’s Global AI Initiative as part of the Thought Summit program organized by the Cornell Center for Data Science for Enterprise & Society, Thought Summit: LLMs and Society is the second of several summits slated this fiscal year at Cornell.
Contrary to highly cited research from more than 30 years ago, an incentivized pay structure will lead to greater reliance on AI in decision-making than flat, fixed compensation, according to a study co-led by a Cornell researcher.
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.
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 researchers are demonstrating how artificial intelligence – particularly deep learning and generative modeling – can accelerate the design of new molecules and materials, and even function as an autonomous research assistant.
