RBCDSAI Distinguished Fellow Colloquium by Prof. Sriraam Natarajan скачать в хорошем качестве

RBCDSAI Distinguished Fellow Colloquium by Prof. Sriraam Natarajan

Prof. Sriraam Natarajan, Director for Center for ML at the Department of Computer Science at University of Texas Dallas, a hessian.AI fellow at TU Darmstadt and a RBCDSAI Distinguished Faculty Fellow at IIT Madras. This is part of the RBCDSAI Distinguished Fellow Colloquium Series. More info about the event at https://rbcdsai.iitm.ac.in/events/rbc... Talk Title: “Enhancing healthcare with AI-in-the-loop” Abstract: Historically, Artificial Intelligence has taken a symbolic route for representing and reasoning about objects at a higher-level or a statistical route for learning complex models from large data. To achieve true AI in complex domains such as healthcare, it is necessary to make these different paths meet and enable seamless human interaction. First, I will introduce learning from rich, structured, complex and noisy data. One of the key attractive properties of the learned models is that they use a rich representation for modeling the domain that potentially allows for seam-less human interaction. I will present the recent progress that allows for more reasonable human interaction where the human input is taken as “advice” and the learning algorithm combines this advice with data. I will present these algorithms in the context of several healthcare problems -- learning from electronic health records, clinical studies, and surveys -- and demonstrate the value of involving experts during learning. For more information about the exciting work and opportunities at the centre visit: https://rbcdsai.iitm.ac.in/