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.
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Visiting lecturer will explore expanded vision for AI in research
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.
How Angela Chen’s award winning designs integrate AI and responsible design
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 honored with “Test of Time” award
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.
Considering race in colon cancer prediction reduces disparities
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.
Cornell Tech researcher part of $12 million NSF study to reduce computing’s carbon footprint
The U.S. National Science Foundation (NSF) has awarded $12 million to a multi-institutional team of researchers that includes Cornell Tech Assistant Professor Udit Gupta for an initiative to establish new standards for carbon accounting in the computing industry.
Diagnostic tool identifies puzzling inflammatory diseases in kids
A Cornell-led collaboration developed machine-learning models that use these cell-free molecular RNA dregs to diagnose pediatric inflammatory conditions that are difficult to differentiate. The diagnostic tool can accurately determine if a patient has Kawasaki disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), a viral infection or a bacterial infection, while simultaneously monitoring the patient’s organ health.
AI boosts indoor food production’s energy sustainability
Integrating artificial intelligence into today’s environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed the world as its population rises, Cornell engineers have found.