Architecture team wins design funding from Epic Games

Three architecture faculty received funding from Epic Games Inc. in support of their work on Virtual Places, a project to adapt the company’s VR gaming engine for architectural and urban design.

New book explores children’s emotional expression

English professor Jane Juffer looks at children’s television, online gaming and political expression in her new book, “Don't Use Your Words! Children’s Emotions in a Networked World.”

Math can protect society’s networks, Kleinberg says in D.C.

Mathematical and computational models can make power grids, financial institutions and other networks less vulnerable to collapse, Jon Kleinberg, the Tisch University Professor of Computer Science, said at a June 13 presentation on Capitol Hill.

Cornell Law School professor wins Supreme Court death penalty appeal

The U.S. Supreme Court on June 21 overturned the 2010 conviction of Mississippi death row inmate Curtis Flowers, who was represented by Cornell Law School professor Sheri Lynn Johnson.

Dairy food science program promotes safety, quality

The Cornell Dairy Foods Extension certificate program run by the Department of Food Science in CALS helps industry people learn the ins and outs of product safety and quality.

Education, interaction with older people reverses ageism

A Cornell-led team has shown, for the first time, that intergenerational contact and education about the aging process and its misconceptions can reduce ageist attitudes, prejudices and stereotypes.

Robot circulatory system powers possibilities

Cornell engineers have created a synthetic vascular system for soft robots capable of pumping an energy-dense hydraulic liquid that stores and deploys energy in an integrated design.

Partnership aims to improve food security in Latin America

Cornell University and the Core Foundation have signed a five-year Memorandum of Agreement to explore new ways to promote food security and agricultural innovation in Latin America.

Machine learning unlocks mysteries of quantum physics

A Cornell-led team has developed a way to use machine learning to analyze data generated by scanning tunneling microscopy, yielding new insights into how electrons interact and showing how machine learning can be used to further discovery in experimental quantum physics.