Leader in assistive robotics receives TRI Young Faculty Researcher award

Tapo Bhattacharjee believes assistive robotics can better the lives of people who have mobility limitations, so he is working to develop a robotic system that transfers a person from a bed to a wheelchair. 

Around Cornell

Life as a Cornell entrepreneur: ‘I have people in my corner who inspire me’

CultureCare is a digital platform for BIPOC (Black, indigenous, and people of color) therapists to manage their practice and connect to clients. 

Around Cornell

AI-powered ‘sonar’ on smartglasses tracks gaze and facial expressions 

Cornell researchers have developed two technologies that track a person’s gaze and facial expressions through sonar-like sensing. 

BOOM 2024 to bring games, gadgets and more

AI memory aids, post-apocalyptic video games and a stock trading app are among the digital creations that will be on display at Bits On Our Minds, the premier showcase for Cornell student projects in cutting-edge digital technology. 

Cornell Cinema offers tasty, mind-stretching Science on Screen showings

Science on Screen® supports creative pairings of current, classic, cult, and documentary films with introductions by figures from the world of science, technology and medicine. 

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Cornell alum to discuss future of video games

Alejandro Marin Vidal, ’06, will talk about AI and game creation, industry layoffs and other topics during his talk April 8 at 5 p.m. in Milstein Auditorium in Milstein Hall.

Around Cornell

Wristband uses echos, AI to track hand positions for VR and more

Researchers have developed a wristband device that continuously detects hand positioning – as well as objects the hand interacts with – using AI-powered, inaudible soundwaves.

Dick Conway, architect of computer science at Cornell, dies at 92

Richard “Dick” W. Conway ’54, Ph.D. ’58, a trailblazing professor who was instrumental in launching Cornell’s Department of Computer Science in 1965 – one of the first of its kind – died March 19. He was 92. 

Statistical machine learning can find unknown factors behind disease

A new method can now find previously unknown factors that underlie disease by using statistical machine learning to sort through mountains of complex biological data.