Researchers from Cornell and Brown University have developed a souped-up telepresence robot that responds automatically and in real-time to a remote user’s movements and gestures made in virtual reality.
The faculty have expertise in a broad range of areas, including robotics, artificial intelligence, digital fabrication, public health, and population genetics.
On November 1st, Cornell's Center for Advanced Computing and Weill Cornell Medicine Scientific Computing, ITS, and Clinical and Translational Science Center will launch a new Scientific Computing Training Series.
After the height of the COVID-19 pandemic, students belonging to underrepresented ethnic minority groups struggled to bounce back academically as compared with their non-minority classmates.
Throughout history, sonar’s distinctive “ping” has been used to map oceans, spot enemy submarines and find sunken ships. Today, a variation of that technology – in miniature form, developed by Cornell researchers – is proving a game-changer in wearable body-sensing technology.
With funding from CALS and Cornell Bowers CIS, Natalie Bazarova and Qian Yang have founded the Digital and AI Literacy Initiative in an effort to equip underserved communities with the resources to use digital technologies safely and responsibly.
The $1.7 million grant will help scientists with expertise in artificial intelligence and machine learning to address complex biomedical challenges in nutrition and health.
A hardware accelerator initially developed for artificial intelligence operations successfully speeds up the alignment of protein and DNA molecules, making the process up to 10 times faster than state-of-the-art methods.
With artificial intelligence poised to assist in profound scientific discoveries that will change the world, Cornell is leading a new $11.3 million center focused on human-AI collaboration that uses mathematics as a common language.
