A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate.
A new computational system called Schemonic, developed by Cornell researchers, cuts the costs of using large language models such as ChatGPT and Google Bard by combing large datasets and generating what amounts to “CliffsNotes” versions of data.
Integrating AI into environmental control systems could reduce energy consumption for indoor agriculture by 25% – potentially helping to feed a growing world population.
By repeatedly scanning the brains of a small group of patients for a year and a half, Weill Cornell Medicine researchers have identified a distinct pattern of neuronal interactions that appears to predispose some people to developing depression.
The TeraPore Technology co-founder and CEO is featured in the 2024 Faces of American Innovation Report along with four other honorees selected to receive the award.
New data summaries from the Cornell Lab of Ornithology’s eBird platform will help state wildlife planners assess the status of bird populations that live in or pass through their state – a crucial tool in protecting species.
The study paves the way for using the novel manufacturing process and quality controls to move cell therapy production further along toward applying it in a clinic.
People love rankings, but do they really mean that much? Sometimes they do, depending on several factors including the availability of other information, according to new Cornell research.
