Researchers created a robot less than 1 millimeter in size that is printed as a 2D hexagonal “metasheet” but, with a jolt of electricity, morphs into preprogrammed 3D shapes and crawls.
A two-day training program for the New York State Department of Homeland Security and Emergency Services helps local health officials and first responders convey key messages in a crisis.
A Cornell-led collaboration developed machine-learning models that use cell-free molecular RNA to diagnose pediatric inflammatory conditions that are difficult to differentiate.
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.
What are the options for limiting harm as AI use grows? This is one of the questions a network of international colleagues are tackling in a research collaboration launched with a 2022 Joint Research Seed Grant from Global Cornell’s Global Hubs initiative. This year’s cycle of Global Hubs seed grants recently opened.
Projects across Cornell are exploring how the university's grasslands – from hayfields to campus lawns – can protect birds, encourage biodiversity and sequester carbon to fight climate change.
A team led by Judy Cha collaborated with the late Lena Kourkoutis to use cryo-electron imaging to study how defects in the microstructure of the nanomaterial tantalum disulfide affects its properties.
Colorado State University has joined the NSF-funded Center for Research on Programmable Plant Systems (CROPPS), led by Cornell University, with Arjun Khakhar spearheading projects on plant genome editing and enhancing nitrogen and water use in crops.
