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.
Thirty student startups received Human Spirit, Beck Fellows and Cane Entrepreneurial Scholars awards this summer from Entrepreneurship at Cornell, funding that will allow students to work on their startups rather than take traditional summer positions.
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.
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 has won three of 15 major grants from the Bezos Earth Fund, awarded to leverage artificial intelligence in the fight against climate change and environmental challenges.
Tianyi Chen is pushing the boundaries of artificial intelligence by asking a pressing question: What if AI could be engineered not just to optimize for a single outcome, but to make smarter, more balanced decisions — much like humans do?
Cornell-led research argues that food safety regulations should set evidence-based targets for food that is sufficiently safe rather than aiming for zero risk, which is neither achievable nor desirable.
Contributions unveiled tools for analyzing environmental and health interventions, matching images to architectural plans, and generating realistic 3D scenes with unprecedented efficiency.