Yen-Ling Kuo
January 11, 2018 - 12:15 pm
In September 2014, Siemens Healthcare generously established the CBMM Siemens Graduate Fellowship. This fellowship provides support, for one academic year, to an MIT graduate student whose research bridges two of the main CBMM disciplines (computer science, cognitive science, and neuroscience) and contributes to CBMM goals of furthering our understanding of human intelligence and engineering new methods based on that understanding. During the...
Members from both groups talking
January 9, 2018 - 9:15 am
On December 13-14, 2017, principal investigators from CBMM and the Science of Intelligence Initiative (SCIoI) held a workshop at MIT to determine joint research initiatives. SCIoI is currently under review as a proposed Cluster of Excellence in the Excellence Initiative by the German government. SCIoI shares with CBMM the vision of understanding intelligence by creating a new interdisciplinary field—the Science and Engineering of Intelligence....
Susan Epstein
December 22, 2017 - 9:00 am
Hunter College’s new interdisciplinary course in computational cognitive neuroscience has just received approval as a Scientific World course for all 278,000 students at The City University of New York (CUNY). As a partner in MIT's Center for Brains, Minds, and Machines, Hunter Professor Susan L. Epstein has pioneered SCI 111, a course for first-year students that combines cognitive neuroscience, cognitive psychology, and artificial intelligence...
Photo of Jeff Hawkins
December 15, 2017 - 4:30 pm
Jeff Hawkins, Co-Founder, Numenta
Please note the change in start time. This talk will be starting at 4:30pm, on Friday, Dec. 15, 2017.
Abstract:  In this talk I will describe a theory that sensory regions of the neocortex process two inputs. One input is the well-known sensory data arriving via thalamic relay cells. We propose...
Image from MIT News article.
December 13, 2017 - 12:00 pm
Larry Hardesty | MIT News Office
December 13, 2017
Excerpt:  "Josh Tenenbaum, a professor of brain and cognitive sciences at MIT, directs research on the development of intelligence at the Center for Brains, Minds, and Machines, a multiuniversity, multidisciplinary project based at MIT that seeks to explain and replicate human intelligence.
Presenting their work at this year’s Conference on Neural Information Processing Systems, Tenenbaum and...
Wei Ding & Akram Bayat
December 1, 2017 - 4:00 pm
Akram Bayat (UMass Boston, Visual Attention Lab) , Wei Ding (UMass Boston, Knowledge Discovery Lab)
Host: Mandana Sassanfar
Akram Bayat: From Motor Control to Scene Perception: Using Machine Learning to Study Human Behavior and Cognition
In this presentation, as part of my work at UMass Boston, two dimensions of implementing machine learning algorithms for solving two important real...
Screenshot from video clip.
November 23, 2017 - 11:00 am
Ten-month-old infants determine the value of a goal from how hard someone works to achieve it.
Anne Trafton | MIT News Office
November 23, 2017
Babies as young as 10 months can assess how much someone values a particular goal by observing how hard they are willing to work to achieve it, according to a new study from MIT and Harvard University.
This ability requires integrating information about both the costs of obtaining a goal and...
Klaus-Robert Müller
November 17, 2017 - 2:00 pm
Klaus-Robert Müller, Technische Universität Berlin
Abstract: In recent years, machine learning (ML) and artificial intelligence (AI) methods have begun to play a more and more enabling role in the sciences and in industry. In particular, the advent of large and/or complex data corpora has given rise to new technological challenges and possibilities...
November 7, 2017 - 3:00 pm
Autonomous cars and Go-playing computers are impressive, but we’re no closer to machines that can think like people, says neuroscientist Tomaso Poggio.
by Antonio Regalado
Intelligent Machines | MIT Technology Review
Excerpt:  "Recent advances that let computers play board games and drive cars haven’t brought the world any closer to true artificial intelligence.
That’s according to Thomas Poggio, a professor at the McGovern Institute for Brain...
Ryan Cotterell
November 3, 2017 - 4:00 pm
McGovern Seminar Room (46-3189)
Ryan Cotterell
Title: Probabilistic Typology: Deep Generative Models of Vowel Inventories
Abstract: Linguistic typology studies the range of structures present in human language. The main goal of the field is to discover which sets of possible phenomena are universal, and which are merely frequent. For example,...
Niko Kriegeskorte
October 27, 2017 - 4:00 pm
Niko Kriegeskorte , Host/Moderator: Josh Tenenbaum , Panelists (CBMM faculty): Tomaso Poggio, Nancy Kanwisher, James DiCarlo, Josh McDermott, Sam Gershman, ...
Questions that the panel will focus on include:
- What does it mean to "understand" the brain, and especially the ventral stream, in the era of deep networks?  Can we come up with better, richer ways of comparing representations in models and brains, which are more revealing of how brains...
Photo of award presentation.
October 24, 2017 - 9:00 am
Prof. Tomaso Poggio was presented with the sixth PAMI Azriel Rosenfeld Lifetime Achievement Award, at the ICCV 2017, in Venice, Italy. This award was established at ICCV 2007 to honor outstanding researchers who are recognized as making significant contributions to the field of Computer Vision over longtime careers. This award is in memory of the late computer scientist and mathematician Prof. Azriel Rosenfeld.
Past Recipients:
Olivier Faugeras...
Alison Gopnik
October 20, 2017 - 4:00 pm
MIT 46-5165 (MIBR Reading Room)
Alison Gopnik, University of California at Berkeley
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 development across the lifespan. This short talk will be...
AlphaGo Zero: Learning from scratch
October 18, 2017 - 9:30 am
"Artificial intelligence research has made rapid progress in a wide variety of domains from speech recognition and image classification to genomics and drug discovery. In many cases, these are specialist systems that leverage enormous amounts of human expertise and data.
However, for some problems this human knowledge may be too expensive, too unreliable or simply unavailable. As a result, a long-standing ambition of AI research is to bypass...
Graphic of someone tracking the motion of billiard balls
October 17, 2017 - 4:00 pm
Before assigning responsibility, our minds simulate alternative outcomes, study shows.
Anne Trafton | MIT News Office
October 17, 2017
“What’s really cool about eye tracking is it lets you see things that you’re not consciously aware of,” Professor Josh Tenenbaum says. “When psychologists and philosophers have proposed the idea of counterfactual simulation, they haven’t necessarily meant that you do this consciously. It’s something going on...