NYC summer shapes Milstein students’ thoughts about future

Sophomore students in the Milstein Program in Technology and Humanity spent their first summer in person at Cornell Tech, taking part in a series of mentored workshops, guest seminars, group projects, innovation challenges and other activities.

Answer to thorny question could unlock internet security

Rafael Pass, professor of computer science at Cornell Tech and at the Cornell Bowers College of Computing and Information Science, and a collaborator offer a potential pathway to solving an age-old computer science and cryptography problem.

Smart necklace could track your detailed facial expressions

Tracking facial movements, and possibly their cause, is one of the proposed applications for NeckFace, a necklace-type wearable sensing technology developed in the lab of Cheng Zhang, assistant professor of information science.

Platform teaches nonexperts to use machine learning

New, award-winning research from the Cornell Ann S. Bowers College of Computing and Information Science is helping inform and improve future design and development of interactive machine learning tools.

Dog DNA startup announces $75M in venture funding

Embark Veterinary, Inc. – a canine genetics startup company that graduated from Cornell’s McGovern Center incubator in late 2017 – announced $75 million in venture funding on July 26.

Summer CIS programs foster diversity, community

Diversity is a major priority of the Cornell Ann S. Bowers College of Computing and Information Science, and three summer offerings – CSMore, SoNIC and the Designing Technology for Social Impact Workshop – demonstrate that commitment.

Library launches future with FOLIO

Cornell University Library pioneers in adapting open source system, FOLIO.

Around Cornell

NSF funds work on flagging bad online behavior

Members of the Prosocial Project have received a four-year, $1.19 million grant from the National Science Foundation for work on understanding the emergence and maintenance of norms to deter negative online behavior.

Machine learning tool sorts the nuances of quantum data

An interdisciplinary team developed a tool to parse quantum matter and make crucial distinctions in the data, helping scientists unravel the most confounding phenomena in the subatomic realm.