Alison Gopnik
October 20, 2017 - 4:00 pm
MIT 46-5165 (MIBR Reading Room)
Alison Gopnik
This is a private CBMM event for CBMM members only.
Abstract: Gopnik will speak for 20-30 minutes about how the study of cognitive development in babies and older children can inform the development of AI systems, and also how ideas from engineering might further our understanding of cognitive...
Photo of Prof. Alan Yuille
October 13, 2017 - 4:00 pm
Prof. Alan Yuille, John Hopkins University
Abstract: This talk will update progress on a research program which was presented in “Deep Networks and Beyond” at the CBMM AI workshop at Stanford. The goal is to develop hierarchical architectures with the same strong performance abilities as deep networks but which are also able to model the...
October 6, 2017 - 4:00 pm
CBMM PIs
We will introduce the 4 proposed modules for CBMM's renewal. CBMM PIs will present and disucss their research plans and goals at CBMM for the next 5 years. The talks session will be followed by a reception/party (6pm-8pm) to celebrate the renewal by NSF.
Contact for details: Guy Ben-Yosef, gby@mit....
May 30, 2017 - 4:00 pm
Noam Chomsky (MIT)  
Title: Language and Evolution
In their latest book, Why Only Us: Language and Evolution, Berwick and Chomsky discuss the biolinguistic perspective on language, which views language as a particular object of the biological world; the computational efficiency of language as a system of thought and...
December 16, 2016 - 4:00 pm
Max Tegmark, Josh Tenenbaum, Tomaso Poggio
November 4, 2016 - 4:00 pm
Ilker Yildirim (CBMM, MIT), Goker Erdogan (U. Rochester); followed by a discussion with Josh Tenenbaum and...
Generative models and deep networks in brain/mind modeling (two 25 min talks + discussion/debate to follow).
 
Photo of Alan Yuille
October 21, 2016 - 4:00 pm
Alan Yuille (CBMM, Johns Hopkins University)
Abstract: This talk describes work on detecting and parsing humans into joints and semantic parts. It combines deep networks with graphical models for reasoning about the spatial relations between joints. We discuss methods for dealing with occlusion and scale variations. Finally we describe...
October 7, 2016 - 4:00 pm
Pedro Tsividis and Josh Tenenbaum 
NOTE - *Please bring a laptop, as this will be a participatory session. We will actually be playing video games for much of it. We encourage everyone to bring their laptop and actively participate.*
September 16, 2016 - 4:00 pm
Tomaso Poggio
Topic: CBMM state and updates  
- State of CBMM (Tomaso Poggio)
- BMM summer school recap (Gemma Roig)
- Engineering of Intelligence Teams (Greg Hale)
- Technology and resources for CBMM (Kris Brewer)
- NSF renewal proposal updates (Kathleen Sullivan)
- Upcoming meetings
May 11, 2016 - 4:00 pm
Harvard NW Bldg. Room 243
CBMM postdocs will lead a discussion on Object detection performance
May 4, 2016 - 4:00 pm
McGovern Reading Room (45-5165)
Speaker: Robert Gütig (Max Planck Institute of Experimental Biology, Goettingen)
Robert Gütig is a group leader at the Max Planck Institute of Experimental Biology in Goettingen where he researches spike-based learning and information processing in neural networks. He was trained in Physics at the Free University of Berlin (Germany) and the University of Cambridge (UK). He did...
April 13, 2016 - 4:00 pm
McGovern Reading Room, MIT 46-5165
Dr. Erik Blaser, Dr. Marc Pomplun, Dr. Jin Ho Park, UMass Boston
Abstract: Dr. Blaser (Psychology) and Dr. Pomplun (Computer Science) will give an introduction to ongoing research both in their labs, and more broadly at the University of Massachusetts Boston.  Dr. Blaser’s area is visual psychophysics (including work on visual attention and ocular dominance...
April 6, 2016 - 4:00 pm
Moderator: Max Tegmark Panelists: Adam Marblestone, Boris Katz, Josh Tenenbaum, Gabriel Kreiman, Seth Lloyd...
Main topic: What similarities/differences should we expect between the brain and AI-systems?
On one hand, one might expect evolution and engineering to discover similar solutions to similar computational problems. On the other hand, the two are optimizing under very different constraints: evolution...
Photo of Prof. L. Mahadevan
March 30, 2016 - 4:00 pm
Harvard NW Bldg. Room 243
L. Mahadevan, SEAS, Physics and OEB, Harvard University
Abstract: Geometry is typically associated with simultaneous processing of the relationship between objects, while probability is typically associated with the sequential processing of events.   I will  discuss some of our preliminary work on combining these subjects in two contexts: (i)...