Author: Kaitlin S Barnes

“Adaptive Deep Learning for Perception, Action & Explanation”

Trevor Darrell, an adjunct professor at UC Berkeley’s Department of Electrical Engineering and Computer Sciences, presents recent long-term recurrent network models that learn cross-modal description and explanation, using implicit and explicit approaches, which can be applied to domains including fine-grained recognition and visuomotor policies.

GSF Sarah Adel Bargal Gives Thesis Proposal Defense

Join the Hariri Institute for Computing and the Computer Science Department for Sarah Adel Bargal’s thesis proposal defense. Sarah Adel is a PhD candidate in the Computer Science Department and a Hariri Institute Graduate Student Fellow.

AI Research Initiative Launches Seminar Series

Led by Kate Saenko, Stan Sclaroff, Brian Kulis, and Margrit Betke, the initiative was featured during the Data Science Initiative’s BUDS 2018 conference and has launched an exciting seminar series for the spring 2018 semester that will feature top AI experts from across the country.

AI Research Tackles Decision-Making Transparency

As artificial intelligence (AI) becomes more and more commonplace, the demand for these tools to reduce mistakes and become more transparent has created a critical need for advanced research. Bolstered by a $7.55 million grant from the Defense Advanced Research Projects Agency (DARPA), Kate Saenko, assistant professor of computer science and core faculty member of the AI Research (AIR) Initiative at BU, and UC-Berkeley faculty Trevor Darrell are working to uncover new ways to understand the decision-making processes of AI tools.

AI Emerges as Crucial Component of BU Research and Teaching

Brian Kulis joined BU in the fall of 2015, bringing his expertise in machine learning and artificial intelligence (AI) to key research and teaching thrusts of the university. An assistant professor of electrical and computer engineering and the inaugural Levine Career Development Professor, Kulis leverages AI and machine learning to advance the rapidly expanding field of data science.

BU Cyber Alliance Hosts 2/5 Seminar, Featuring Paul Ohm (Georgetown)

Paul Ohm is a Professor of Law at the Georgetown University Law Center. He specializes in information privacy, computer crime law, intellectual property, and criminal procedure. He teaches courses in all of these topics and more and he serves as a faculty director for the Center on Privacy and Technology at Georgetown.

BU Cyber Alliance hosts 4/30 Seminar, Featuring Ahmed Ghappour

This talk considers the question of whether and to what extent fact-finders in the criminal legal process should defer to factual outcomes generated by “opaque” algorithms whose form or functionality cannot readily be digested by human-scale observation and reasoning.