The skies may soon be congested with drone traffic. A multidisciplinary team received a grant from NASA to develop new models to coordinate these drones, which may someday deliver packages – or even people.
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Robotic system feeds people with severe mobility limitations
Cornell researchers have developed a robotic feeding system that uses computer vision, machine learning and multimodal sensing to safely feed people with severe mobility limitations, including those with spinal cord injuries, cerebral palsy and multiple sclerosis.
AI-generated empathy has its limits
Researchers from Cornell Tech, Cornell and Stanford University found that, despite their ability to display empathy, conversational agents such as Siri do poorly compared to humans when interpreting and exploring a user’s experience.
Students revive classic microchip fabrication with open-source tools
A unique project team enables Cornell undergraduates to use emerging open-source hardware to design, test and fabricate their own microchips – a complex, expensive process that is rarely available to students.
OpenAI funds Choudhury’s work to keep superhuman AI in check
Sanjiban Choudhury, assistant professor of computer science in the Cornell Ann S. Bowers College of Computing and Information Science, will receive a $150,000 grant from OpenAI, a leading artificial intelligence (AI) company that has developed ChatGPT and other generati…
CVM hosts inaugural conference on AI in veterinary medicine
For the first time ever, experts in veterinary medicine, AI researchers, industry pioneers, and thought leaders from around the world gathered at to the College of Veterinary Medicine (CVM) for the Symposium on Artificial Intelligence in Veterinary Medicine.
AI apps and robots take home awards at BOOM
Apps that use artificial intelligence to help with tutoring, labeling medical images and perfecting your form while exercising, websites that address social issues with technology, and a robot that may one day colonize Mars all won awards at the annual Bits On Our Minds…
People, not design features, make a robot social
Researchers who develop social robots – ones that people interact with – focus too much on design features and not enough on sociological factors, like human-to-human interactions, the contexts where they happen and cultural norms involving robots.