The Institute for Applied Computational Science at Harvard University is hosting a one day Symposium: Brain + Machines on Friday, January 22, 2016 to explore the frontiers of neuroscience and computer science. Speakers will address the question “What are the implications of our attempts to reverse engineer the brain?” from different perspectives such as scientific research, mental health, ethical, economic, computer science, and technology. Confirmed Speakers Include: David Cox, Harvard University Nancy Kanwisher, MIT John Leonard, MIT Jeff Lichtman, Harvard University Francesca Rossi, University of Padova Andreas Tolias, Baylor College of Medicine R. Jacob Vogelstein, IARPA (Intelligence Advanced Research Projects Activity, US government) This symposium is free and open to the public. Register Here. […]
Computing Community Consortium Blog
The goal of the Computing Community Consortium (CCC) is to catalyze the computing research community to debate longer range, more audacious research challenges; to build consensus around research visions; to evolve the most promising visions toward clearly defined initiatives; and to work with the funding organizations to move challenges and visions toward funding initiatives. The purpose of this blog is to provide a more immediate, online mechanism for dissemination of visioning concepts and community discussion/debate about them.
Posts Tagged ‘Harvard’
Harvard Symposium: Brain + Machines
January 15th, 2016 / in Announcements, Research News / by Helen WrightWATCH Talk-Differential Privacy: Theoretical and Practical Challenges
January 12th, 2015 / in NSF, policy, Research News, videos / by Helen WrightThe next WATCH Talk is this Thursday, January 15, 12:00-1:00pm EDT. Salil Vadhan will discuss Differential Privacy: Theoretical and Practical Challenges. Dr. Salil Vadhan is the Vicky Joseph Professor of Computer Science and Applied Mathematics in the Harvard University School of Engineering and Applied Sciences, and the Director of the Harvard Center for Research on Computation and Society. His research area is theoretical computer science, specifically computational complexity, cryptography, and differential privacy. Abstract Differential Privacy is framework for enabling the analysis of privacy-sensitive datasets while ensuring that individual-specific information is not revealed. The concept was developed in a body of work in theoretical computer science starting about a decade ago. […]
