A Cornell-led team has developed modular robots that can perceive their surroundings, make decisions and autonomously assume different shapes in order to perform various tasks.
Cross-campus gathering will focus on the biggest challenges facing the world, and help determine a theme on which the university will focus in the 2019-2020 academic year.
Faculty profiles: Jawad Addoum, Dyson School of Applied Economics and Management; Julia Chang, Department of Romance Studies; Matt D'Amore, Cornell Law School; and Karen Levy, Information Science and Cornell Law School.
C. Richard Johnson will speak about the field of computational art history and discuss preserving and authenticating the works of Vermeer and Rembrandt Nov. 9.
Climate change hits home. A warming world affects the Northeast region, and to demonstrate, the Cornell Institute for Climate Smart Solutions has developed a new online tool: Climate Change in Your County.
To harness a video game's educational potential, Cornell computer scientists have developed a modification to 'Minecraft' that uses artificial intelligence to tell players whether their buildings fit into certain architectural styles, and offers ideas for how the structures could be improved.
A group of Cornell researchers has received a $1 million grant from the U.S. Agency for International Development to use machine learning to rapidly analyze agricultural and food market conditions, aiming to better predict poverty and undernutrition in some of the world’s poorest regions.
Cornell researchers developed a tool that tracks alertness by measuring pupil size, captured through a burst of photographs taken every time users unlock their smartphones.
