CBMM Special Seminar: Topological Treatment of Neural Activity and the Quantum Question Order Effect
April 26, 2016 - 4:00 pm
Seth Lloyd, MIT Department of Mechanical Engineering
Abstract: The order in which one asks people questions affects the probability of their answers. Similarly, in quantum mechanics, the order in which measurements are performed affects the probability of their outcomes. The quantum order effect has a specific mathematical pattern, which --...
April 20, 2016 - 5:00 pm
Demis Hassabis, Google DeepMind
Abstract: Dr. Demis Hassabis is the Co-Founder and CEO of DeepMind, the world’s leading General Artificial Intelligence (AI) company, which was acquired by Google in 2014 in their largest ever European acquisition. Demis will draw on his eclectic experiences as an AI researcher, neuroscientist and...
April 19, 2016 - 9:00 am
The Second Annual CBMM Retreat, Tuesday., April 19th through Wednesday, April 20, 2016, is at the McGovern Institute for Brain Research at MIT. This event is an important opportunity for the CBMM Community to come together, present current research and discuss ongoing and/or...
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...
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...
April 6, 2016 - 3:00 pm
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)...
March 30, 2016 - 3:00 pm
Harvard NW Bldg. Room 255
Discussing the limitations of current object detection tasks, evaluations and datasets and trying to suggest alternatives aligned with the goals of CBMM. The aim is to propose and formulate frameworks through CBMM for datasets, tasks, metrics, evaluation strategies etc.
CBMM Retreat
CBMM at MIT/...
CBMM Retreat
CBMM at MIT/...
March 25, 2016 - 3:00 pm
Prof. Elzabeth Spelke, CBMM Associate Director, and Prof. Amnon Shashua, CBMM International Partner, have both been invited to be plenary speakers at CVPR 2016. The Conference on Computer Vision and Pattern Recognition (CVPR) is the premier annual computer vision event comprising the main conference and several co-located workshops and short courses. CVPR 2016 will be held at Caesar's Palace, from June 26 - July 1, 2016, in Las Vegas, Nevada.
March 18, 2016 - 5:45 am
CBMM offers an intensive 10-week summer research internship, in collaboration with the MIT Department of Brain and Cognitive Sciences (MIT BCS), for advanced undergraduates from institutions with limited research opportunities to introduce women, students from underrepresented minority groups, first-generation college students, students with disabilities, and students from economically disadvantaged backgrounds to the fields of computational and...
March 14, 2016 - 6:30 pm
Joey will be working in Prof. Josh Tenenbaum's lab this summer, under the supervision of Mark Siegel and Julian Jara-Ettinger.
March 9, 2016 - 4:00 pm
Harvard NW Bldg.
Patrick Winston
Abstract:
I describe the Genesis story understanding system, and I explain why I believe Genesis sheds light on aspects of intelligence that are uniquely human. I show how Genesis exhibits aspects of common sense reasoning, conceptual understanding, cultural bias, hypothetical reflection, mental-...
I describe the Genesis story understanding system, and I explain why I believe Genesis sheds light on aspects of intelligence that are uniquely human. I show how Genesis exhibits aspects of common sense reasoning, conceptual understanding, cultural bias, hypothetical reflection, mental-...
March 9, 2016 - 2:15 pm
Google's DeepMind group, and CBMM Industrial Partner, developed an artificial intelligence to master the traditional Chinese game "Go". Combining the machine learning methodologies of deep neural networks and reinforcement learning, AlphaGo defeated South Korean Go master Lee Sedol in a best-out-of-five match.
Read more from the following sources:
New York Times - Master of Go Board Game Is Walloped by Google Computer Program
Wired:
Google’s...
March 2, 2016 - 4:00 pm
MIT Bldg. 46 Room 5165
Jeremy M Wolfe, PhD
Professor of Ophthalmology & Radiology, Harvard Medical School
Director -Visual...
Abstract: In a typical visual search task, you look for a target object amongst some non-target, distractor objects. In the real world, however, you often look for more than one thing at one time. In the supermarket, you might be holding a shopping list of 10 items in your memory. We will call this...
March 2, 2016 - 3:00 pm
MIT, Bldg 46 Room 5193
Discussing the limitations of current object detection tasks, evaluations and datasets and trying to suggest alternatives aligned with the goals of CBMM. The aim is to propose and formulate frameworks through CBMM for datasets, tasks, metrics, evaluation strategies etc.