By combining the design principles and materials of soft robotics with microscale combustions, researchers created a high-resolution electronic tactile display that can operate in messy, unpredictable environments.
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.
Drawing on cutting-edge technology and interdisciplinary expertise, researchers are launching Menopause Health Engineering, a new initiative to uncover how menopause shapes health and disease.
The Center for Teaching Innovation will host “What Works,” on Oct. 1, featuring presentations, the Canvas Course Spotlight awardees, and a poster showcase that will demonstrate engaged learning approaches from Cornell faculty teaching in a diverse range of courses and fields.
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?
A new study revealed how a deadly form of pancreatic cancer enters the bloodstream, solving a long-standing mystery of how the disease spreads and identifying a promising target for therapy.
Cornell professors are sharing what they’ve learned about best practices in physics labs with physics faculty and instructors nationwide through The Introductory Physics Lab Institute.
Scott Emr, the Samuel C. and Nancy M. Fleming Professor Emeritus in the College of Arts and Sciences, has won the World Laureate Association Prize, one of the world’s highest-funded scientific awards.
