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.
Three leading Cornell scholars discussed governmental, social and moral ramifications of artificial intelligence and the role that politics should play in its regulation.
Researchers trust international and scientific groups the most, and militaries, Chinese tech companies and Facebook the least, to shape the development and use of AI in the public interest.
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.
What do the White House, the U.S. Justice Department Civil Rights Division, the U.S. Centers for Disease Control, and the Senate Majority Leader’s office have in common? Cornell students have worked at each institution through Cornell in Washington (CIW), a semester-long engaged learning program founded in 1980 and housed at the Brooks School for Public Policy.
Convening of 80 leaders, researchers and staff across six colleges discussed strategies to address climate change mitigation, adaptation and societal transformation, in a Feb. 1 roundtable sponsored by The 2030 Project.
Multimedia artist Laurie Anderson took a captivated Cornell audience on a trip through the arc of her career during a Sept. 26 talk at the Schwartz Center for the Performing Arts.
Researchers tracked the brain’s dopamine reward system and found – for the first time – this system flexibly retunes toward the most important goal when faced with multiple competing needs.
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.
Cornell computer scientists have developed a new framework to automatically draw “underground maps,” which accurately segment cities into areas with similar fashion sense and, thus, interests.