Ten exceptional early-career scholars will join the College of Arts and Sciences this year as recipients of Klarman Postdoctoral Fellowships, enabling them to pursue leading-edge research in the sciences, social sciences and humanities.
Cornell Bowers CIS is hosting a weekly conversation on Fridays about the future of AI, which will include top industry leaders and groundbreaking researchers who are building the technology and examining its societal, legal, and ethical impacts.
Board Governance: Navigating Emerging Technologies and More in a Complex World, a new Cornell Tech immersion program, is set to prepare corporate board members for fast-paced evolutions driving the future of commerce.
Using a Packard Fellowship for Science and Engineering from the David and Lucile Packard Foundation, Peter McMahon, assistant professor of applied and engineering physics, aims to harness the power of photonics to build processors for neural networks that are more than 1,000 times more energy efficient.
The Cornell China Center’s Ying Hua will lead a panel of educators and scientists as they take an in-depth look at AI and its growing prominence in designing future solutions for many aspects of life and industry.
A mathematician and author of best-selling books that speak to math’s societal and technological roles in the world will visit campus March 13-17 as an A.D. White Professor at Large.
Weill Cornell Medicine is dramatically expanding its campus and research footprint in New York City by securing five floors of 1334 York Ave., the current home of Sotheby's auction house.
More than 300 people joined in two days of campus activities celebrating Cornell entrepreneurs April 11-12, including events to honor Tim Barry ’93 as the 2024 Cornell Entrepreneur of the Year.
Baobao Zhang’s three-year Klarman Postdoctoral Fellowship in the College of Arts and Sciences is an opportunity to research technology policy, particularly on the governance of emerging technologies such as AI.
A Weill Cornell Medicine-led research team used an AI-based approach to uncover patterns among conditions in which people are born, grow, work and age, called social determinants of health, and then linked each pattern to children’s health outcomes.