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.
February 29, 2016 - 9:45 am
Organizers: Costas Anastassiou, Gabriel Kreiman and Stephanie Jones
Oscillatory activities such as theta (~4-8 Hz), alpha (~7-14Hz), beta (~12-30 Hz) or gamma (~30-80 Hz) have been hypothesized to coordinate neural functioning within and across brain areas. Flexible cooperation among local...
Oscillatory activities such as theta (~4-8 Hz), alpha (~7-14Hz), beta (~12-30 Hz) or gamma (~30-80 Hz) have been hypothesized to coordinate neural functioning within and across brain areas. Flexible cooperation among local...
February 23, 2016 - 12:45 am
"Google and Korean Baduk (Chinese Go) Association (KBA) today held the “Google Deepmind Challenge Match Press Briefing” to announce the details on the upcoming Go games between Sedol Lee (9-dan) and AlphaGo, a computer AI by Google DeepMind.
Vice Secretary of KBA, Cheemun Park, and Sedol Lee attended the briefing, and Demis Hassabis, the CEO of Google DeepMind joined on live video to announce the match location, time, rules, and broadcasting...
February 18, 2016 - 6:15 am
By Jeremy Hsu
Posted 15 Feb 2016
A recent IEEE article covers Prof. Shimon Ullman's research on the digital baby project.
Excerpt:
"Can artificial intelligence evolve as human baby does, learning about the world by seeing and interacting with its surroundings? That’s one of the questions driving a huge cognitive psychology experiment that has revealed crucial differences in how humans and computers see images.
The study has tested the limits of ...