Cornell researchers have developed a new robotic framework powered by artificial intelligence that allows robots to learn tasks by watching a single how-to video.
The Center for Teaching Innovation will host “What Works,” on Oct. 1, featuring presentations, the Canvas Course Spotlight awardees, and a poster showcase that will demonstrate engaged learning approaches from Cornell faculty teaching in a diverse range of courses and fields.
This week’s episode of Research Matters features misinformation expert Claire Wardle, discussing how today’s information ecosystem has become increasingly polluted by misleading and emotionally charged content that spreads faster than facts.
Cornell researchers have found the developers of large language models and the educators who use them have different ideas about the potential harms they may cause, a finding that researchers say underscores the need for educators to be more involved in the tools’ development.
A team of researchers from Cornell Tech is reimagining how technology can support users with speech disabilities – not just in functional speech, but also in making real-time jokes during conversations.
Cornell researchers and collaborators have developed a neural implant so small that it can rest on a grain of salt, yet it can wirelessly transmit brain activity data in a living animal for more than a year.
As part of the “CROPPS-in-a-Box” hackathon — an intensive, weeklong event hosted by the Center for Research on Programmable Plant Systems — students in engineering, computer science and plant biology collaborated to build a working prototype that could detect when a plant is in distress.
Cornell Tech researchers unveiled a robot that helps emergency room teams locate life-saving supplies faster, revealing how design can shape collaboration under pressure.
Provost Kavita Bala and professors Anurag Agrawal and Dr. M. Virginia Pascual have been elected to the American Academy of Arts and Sciences, the academy announced on April 23.
A combination of artificial intelligence and data analysis techniques can help doctors to better predict a patient's risk of thyroid cancer, and may one day prevent unnecessary surgeries.