Researchers used advanced data analytics to create a state-by-state look at that environmental impact of the AI boom and how to make the computing infrastructure that supports it more sustainable.
An interdisciplinary project involving faculty, staff and graduate students is sparking collaborations among those interested in computational, digital and data-driven approaches to the study of history, languages and culture.
The panel, “AI + Education: Teaching and Learning in the Age of AI,” held during the 75th Trustee-Council Annual Meeting, painted a complete picture of the state of AI in education at Cornell.