Cornell AI News

As mathematicians work through challenges related to AI, Cornell math faculty members are leading the field with work integrating AI into math and mathematics into AI.

New research has found that although food companies recognized clear benefits to pooling confidential food safety, concerns about trust, competition and shared standards continue to stand in the way.

A Cornell-led research project is developing robots that can perform labor-intensive orchard operations; it’s supported by a four-year, $7.5 million grant from the U.S. Department of Agriculture’s Specialty Crop Research Initiative. 

After a successful pilot launch in the spring, Cornell’s AI Critical Literacy Program will be offered in the fall to all incoming students as well as other interested students, faculty members and staff.

A Cornell research group has devised a way to generate an image of multiple people, incorporating the poses of all individuals to inform the image generation and make the scene more believable and accurate.

A new modeling study finds no regulation of AI products and services may be safer than weak regulation.

Training artificial intelligence to enforce even seemingly straightforward rules – like balls and strikes in Major League Baseball – is a messy, dynamic process that takes time and careful evaluation of the technology.

Researchers have received a seed grant for $250,000 and a chance at a $10 million award to support a project aimed at using artificial intelligence to establish a foundation for trustworthy AI-mediated communication across online platforms.