The NSF, in partnership with Intel, will invest $20 million over five years to establish the Artificial Intelligence Materials Institute at Cornell, as part of the National Artificial Intelligence Research Institutes.
Using Ithaca as a case study, researchers have demonstrated a software tool that can quickly model building energy use and simulate the most cost-effective strategies for improving efficiency and reducing emissions.
In a new study, researchers detail their novel approach for both detecting and controlling the motion of spins within antiferromagnets using 2D antiferromagnetic materials and tunnel junctions, which could lead to ultra-fast information transfer and communications at much higher frequencies.
The Cornell Atkinson Center for Sustainability and long-time collaborator Environmental Defense Fund announce their 2025 awardees for joint research and seek new proposals for 2026 initiatives.
Researchers developed machine-learning models that can sift through cell-free RNA and identify key biomarkers for chronic fatigue syndrome, a debilitating disease that is difficult to confirm in patients because its symptoms can be easily confused with those of other illnesses.
Matthew Velasco, assistant professor of anthropology in the College of Arts and Sciences, and Anna Whittemore, doctoral candidate in anthropology, received awards from the Society for American Archaeology (SAA) at the SAA annual meeting on April 25.
The Varian Edge linear accelerator provides state-of-the art, non-invasive radiotherapy treatments. The closest comparable facilities are in New York City, and while approximately 40% of veterinary schools have radiation oncology programs, few have access to such technology. Cornell’s Varian Edge replaces machinery previously installed in 2000.
In a new book, bioarcheologist Matthew Velasco argues that the reduction of head shape to a marker of ethnic identity has been a colonial invention, one that overlooked significant diversity in lived experience.