Play a Bach duet with an AI counterpoint
BachDuet, developed by University of Rochester researchers, allows users to improvise duets with an artificial intelligence partner.
Software uses selfies to detect early symptoms of Parkinson’s disease
Rochester computer scientist Ehsan Hoque and his colleagues have harnessed machine learning to accurately identify signs of the neurological disease by analyzing facial muscles.
A new way to prepare doctors for difficult conversations
University of Rochester researchers have developed SOPHIE, a virtual ‘patient’ that trains doctors in explaining end-of-life options.
‘Filtering the patterns that matter to us’
Epistemologist Jens Kipper has joined the University’s Department of Philosophy, bringing with him a focus on the nature of intelligence that spans the fields of philosophy, computer science, and artificial intelligence.
A picture is worth 1000 words, but how many emotions?
During a political campaign voters will often share their views through pictures posted on social media. A human could recognize one as being a positive portrait of the candidate and the other one negative. Professor Jiebo Luo and his collaborators are training computers to make the same assessments.