A Cornell-led research team has developed an artificial intelligence-powered ring equipped with micro-sonar technology that can continuously and in real time track fingerspelling in American Sign Language (ASL).
Cornell AI News
News Category
Filter by Topic
AI system can analyze serial medical images
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.
How can we use AI to improve animal welfare? A Q&A with Jennifer Sun
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.
Transdisciplinary project aims to prevent the next pandemic
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.
AI, quantum drive discovery of peptides for microplastic cleanup
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.
Mice use their tongues to ‘see’ tactile targets
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.
New device’s radio waves reveal lead contamination in soil
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.
Developing artificial intelligence tools for health care
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.