Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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Leading the Charge in Cybersecurity, Trust, and Safety
In an era where digital threats are ever-evolving, the need for advanced education and research in cybersecurity, trust, and safety is paramount. Cornell Tech’s new Security, Trust, and Safety (SETS) Initiative, a cutting-edge program aimed at revolutionizing these fields, aims to address these challenges head-on. The director of the SETS program, Google alum Alex
Machine learning helps define subtypes of Parkinson’s disease
Researchers at Weill Cornell Medicine have used machine learning to define three subtypes of Parkinson’s disease based on the pace at which the disease progresses.
Dean Bala talks with The Wall Street Journal about how university researchers can influence generative AI research
Outspent by Big Tech, some academics are focusing on research that requires less computing power, even as they try to build more of it.
Jamey Edwards ’96 MBA ’03 is on a mission to fix healthcare
The newest episode of the Startup Cornell podcast features Jamey Edwards ’96 MBA ’03, president & chief strategy officer at Koko Home, a company providing radar driven, AI-enabled solutions for healthcare and an Entrepreneur in Residence of StartUp Health, which was founded in 2011 to invest in global health entrepreneurs.
Redesigning videoconferencing for, and by, people who stutter
New research and an app aim to make Zoom and other video conferencing platforms less stressful for people with speech diversities, while improving the experience for everyone.
Cornell startup offers AI-powered math help
Nour Gajial ’26, left, and Yanni Kouloumbis ’26, founded MathGPT to help high school and college students struggling with math understand how to approach their problems step by step.
Rising Star Ben Laufer: Improving Accountability and Trustworthiness in AI
With artificial intelligence increasingly integrated into our daily lives, one of the most pressing concerns about this emerging technology is ensuring that the new innovations being developed consider their impact on individuals from different backgrounds and communities. The work of researchers like Cornell Tech PhD student Ben Laufer is critical for understanding the social and ethical implications of algorithmic decision-making.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.
Employees prefer human oversight to AI surveillance – unless the technology can be framed as supporting their development, new Cornell research finds.