Looking Forward @ Johns Hopkins: Alan Yuille

Description

Alan Yuille, Bloomberg Distinguished Professor of computational cognitive science, will give a talk entitled "What Have Deep Networks Ever Done for Us? When Will AI Develop Human, or Superhuman, Powers?" as part of the Looking Forward @ Johns Hopkins remote lecture series.

Yuille is a leading mathematician and computer scientist developing mathematical models of vision and cognition for computers that, when given images or videos, can reconstruct the 3D structure of a scene. These models are intended primarily for designing artificial vision systems, the applications of which include assistance for people with vision impairment. Yuille's research also includes medical image analysis, artificial intelligence, and neural networks. His current endeavor, the Felix Project, aims to create computer programs that can learn to detect signs of pancreatic cancer in CT scans earlier and with more accuracy than humans, improving patient outcomes with early detection and treatment.

Looking Forward @ Johns Hopkins features distinguished Johns Hopkins faculty from a range of research disciplines who have been recognized for their scholarship, research, teaching, and service. Research presentations are followed by question and answer sessions, and seek to bridge the gaps that have emerged as a result of physical social distancing and the mandatory cancellations of campus-based lectures.