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Rachee Singh, assistant professor of computer science, and Emaad Manzoor, assistant professor of marketing, will design light-based, optical network fabrics that enable faster communication between GPUs and bypass bottlenecks caused by slower electrical connections.
Xiaoying Gan ’25, a biometry and statistics and plant science double major, is using her Cornell Bowers education to improve agriculture and tackle food insecurity—advancing humanity and society through tech.
Nirbhay Narang ’25 has created smart glasses to help people manage this situation. The glasses use AI to provide transcriptions of conversations in real time, which can be viewed both on the glasses and on a phone.
The AI for Sustainability (AI4S) Visiting Professorship has launched at Cornell, designed to bring faculty scholars from across the world to the university to tackle pressing global challenges in sustainability through the power of artificial intelligence.
Polymath scholar Sendhil Mullainathan ’93, a behavioral economist who has combined computational and social sciences to produce pioneering work on health care, poverty and the criminal justice system, will deliver three public lectures at Cornell Nov. 11-13 for the Messenger Lectures series.
Angela Chen M.S. ’22, who is an alumna of Cornell in Ithaca and Cornell Tech, pioneered and launched two AI healthcare design products during her time at Cornell Tech and brings to life the value of tech for good. Her AI designs, Calmspace and Argo Data Marketplace, recently won the 2024 A’ Design Award (Italy), 2024 MUSE Design Awards, 2024 New York Product Design Awards and London Design Awards for their ingenuity in helping address problems faced by those working in the healthcare industry.
Thomas Ristenpart, a Professor at Cornell Tech and in the Computer Science Department at Cornell University, received the esteemed Test of Time Award at the 33rd USENIX Security Symposium. This accolade recognizes his co-authored 2014 paper, “Privacy in Pharmacogenetics: An End-to-End Case Study of Personalized Warfarin Dosing,” for its enduring impact on the field over the past 10 years.
Taking race into account when developing tools to predict a patient’s risk of colorectal cancer leads to more accurate predictions when compared with race-blind algorithms, researchers find.
While many medical researchers have argued that race should be removed as a factor from clinical algorithms that predict disease risks, a new study finds that, at least for colorectal cancer, including race can help correct a data issue – inaccurate recording of family history for Black patients.
