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Cornell physicists and computer scientists have developed a machine learning architecture inspired by the large language models (LLMs) behind ChatGPT to help them study the vastly complicated interactions that happen when nature’s smallest particles interact.
Cornell Tech hosted the inaugural Disability and Access in Tech and AI Summit on Oct. 9-10 on its Roosevelt Island campus, bringing together researchers, technologists, and community advocates to explore how disability and accessibility intersect with innovation. The summit welcomed speakers, students, faculty, alumni, and community members from Cornell’s Ithaca campus, New York City, and around the United States.
Two new grants from the Washington Center for Equitable Growth will fund ILR research aimed at providing insights to policymakers, union leaders, managers and others who are shaping the future of AI in the workplace.
The artificial intelligence models underlying popular chatbots and content moderation systems struggle to identify offensive, ableist social media posts in English – and perform even worse in Hindi, new Cornell research finds.
At the same time faculty are finding ways to use generative AI tools to help students learn, pen-and-paper assessments are returning to the classroom.
A Cornell researcher and collaborators have developed a machine-learning model that encapsulates and quantifies the valuable intuition of human experts in the quest to discover new quantum materials.
Using generative AI, fashion designers can use digital photos to adjust models’ features and even deploy fully digital avatars in place of humans. A team including an ILR School researcher has written a paper highlighting models’ challenges.
Cornell University has been awarded a portion of a $2 million planning initiative from the U.S. National Science Foundation to establish AI4Ag, a national testbed for artificial intelligence in agriculture.
