Latest stories, updates, and announcements that highlight the people, research, and progress of AI throughout Cornell.
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AI Headlines from Around the University
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Brevity is money when using AI for data analysis
September 9, 2024
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
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Diagnostic tool identifies puzzling inflammatory diseases in kids
September 9, 2024
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.
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AI boosts indoor food production’s energy sustainability
September 9, 2024
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.
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Biohybrid robots controlled by electrical impulses — in mushrooms
August 30, 2024
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.
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AI modeling delivers more benefits, less risk for water partnerships
August 27, 2024
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.
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Navigating Appropriate and Effective Use of Artificial Intelligence and Large Language Models for BME Students
August 27, 2024
Sep 26, 2024 3 p.m. ET
The explosion in the availability and use of AI-based tools including Large Language Models (LLM) has made it difficult for students to understand how best to use these tools as well as when the use of these tools is professionally appropriate and ethical. This panel discussion will seek to explore how best to guide students in understanding the opportunities with AI as well as some of the professional and ethical questions associated with its use.
Sponsored by the BMES Student Affairs Subcommitte
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Machine learning explains material’s thermal conductivity
August 22, 2024
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.
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Study finds potential link between DNA markers and aging
August 21, 2024
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.
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Cognitive behavioral therapy app improves anxiety in young adults
August 21, 2024
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.