In competition, people get discouraged by competent robots

A Cornell-led team has found that when robots are beating humans in contests for cash prizes, people consider themselves less competent and expend slightly less effort – and they tend to dislike the robots, too.

With help from AI, microservices divvy up tasks to improve cloud apps

As applications grow more complex, companies such as Twitter, Amazon and Netflix are turning to microservices – scores of small applications, each performing a single function and communicating over the network to work together.

Six assistant professors win NSF early-career awards

Six Cornell assistant professors have received National Science Foundation Faculty Early Career Development Program awards.

Workshop teaches problem-solving through rapid prototyping

Using the five steps of design thinking, Diane Levitt from Cornell Tech gave a workshop Feb. 20 on how to work as a team to create rapid prototypes in an attempt to solve real-world problems.

Cornell Tech Dean Dan Huttenlocher to step down

Dan Huttenlocher, dean and vice provost of Cornell Tech, who positioned the campus as one of the most forward-thinking and interdisciplinary in the nation, will step down Aug. 1 to become dean of MIT’s new college of computing.

Study uses neural networks to define Dada

Cornell researchers explored whether an algorithm could be trained to sort digitized Dadaist journals from non-Dada modernist journals – a formidable task, given that many consider Dada inherently undefinable.

Digital ag is Cornell’s newest radical collaboration initiative

Digital agriculture at Cornell has just been seeded for robust additional growth by being added as a strategic discipline area to the provost's radical collaboration initiative.

‘Hamilton’ producer among spring Milstein speakers

The multidisciplinary Milstein Program in Technology & Humanity will bring prominent thinkers to campus this spring for thought-provoking public events and workshops.

Social scientists take on data-driven discrimination

Big data, machine learning and digital surveillance have the potential to create racial and social inequalities – and make existing discrimination even worse, according to a team of Cornell scientists addressing the problem.