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A new AI-based system for analyzing images taken over time can accurately detect changes and predict outcomes, according to a study led by investigators at Weill Cornell Medicine, Cornell’s Ithaca campus and Cornell Tech. The system’s sensitivity and flexibility could make it useful across a wide range of medical and scientific applications.
Through her research, Jennifer Sun wants to help human experts and AI models collaborate to unearth new insights from ever-growing stockpiles of data in diverse fields.
Most pandemics in the past century were sparked by a pathogen jumping from animals to humans. This moment of zoonotic spillover is the focus of a multidisciplinary team of researchers led by Raina Plowright, the Rudolf J. and Katharine L. Steffen Professor in the Cornell College of Veterinary Medicine’s Department of Public and Ecosystem Health.
A research team led by Cornell has demonstrated how quantum computing and artificial intelligence can be used to design new peptides capable of capturing microplastics that pose serious risks to ecosystems and human health.
Cornell scientists have identified the neural pathway mice use to direct the tongue to tactile targets: the superior colliculus, the same brain region that primates – including humans – use to direct their gaze to visual targets. It’s likely that humans use the same neural pathways for touch-guided tongue control.
A Cornell Tech-led research group is in the early stages of developing a portable, inexpensive device that uses radio frequency signals and machine learning for another important job: measuring lead contamination levels in soil.
Reinforcement Learning (RL), an artificial intelligence approach, has the potential to guide physicians in designing sequential treatment strategies for better patient outcomes but requires significant improvements before it can be applied in clinical settings, researchers from Weill Cornell Medicine and Rockefeller University have found.
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.
