Cornell AI News
Cornell is spearheading the development and refinement of AI through extensive interdisciplinary collaborations.
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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.
Biohybrid robots controlled by electrical impulses — in mushrooms
Cornell researchers discovered a new way of controlling biohybrid robots that can react to their environment better than their purely synthetic counterparts: harnessing fungal mycelia’s innate electrical signals.
AI modeling delivers more benefits, less risk for water partnerships
Researchers found that cooperative partnerships seeking to spread the cost burden of water infrastructure projects often end up forcing local partners to bear the brunt of supply and financial risks.
Machine learning explains material’s thermal conductivity
Using a combination of machine learning and powerful X-rays, Cornell researchers have solved a mystery behind the unusual behavior seen in a class of materials with potential for thermoelectric energy conversion and other applications.
Study finds potential link between DNA markers and aging
Researchers have uncovered DNA markers associated with retroelements, remnants of ancient viral genetic material, in our genes that act as highly accurate epigenetic clocks predicting chronological age.
Cognitive behavioral therapy app improves anxiety in young adults
Researchers at Weill Cornell Medicine and NewYork-Presbyterian found that a self-guided cognitive behavioral therapy app significantly reduced anxiety in young adults struggling with mental health challenges.
Digital Artist Dreams His Creations in Pixels and Neurons
An architecture and computer graphics alum returned to the Hill this summer to draw images from landscapes—and memories