A new approach, called WildCAT3D, is making it easier to visualize lifelike 3D environments from everyday photos already shared online, opening new possibilities in industries such as gaming, virtual tourism and cultural preservation.
A Cornell research team has introduced a new method that helps machines make connections between what’s on the ground and how it represented on a map – an advance that could improve robotics, navigation systems and 3D modeling.
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 University has selected three new Thought Summits for 2026, advancing collaboration in artificial intelligence and data science across disciplines ranging from veterinary medicine and environmental justice to humanitarian response.
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.
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.
Artificial intelligence is everywhere, from the apps people use to the systems that shape hiring decisions and healthcare. But what happens when these tools don’t work equally well for everyone? That question drives the research of Allison Koenecke, a new assistant professor of information science at Cornell Tech.
An interdisciplinary project involving faculty, staff and graduate students is sparking collaborations among those interested in computational, digital and data-driven approaches to the study of history, languages and culture.