May 2, 2018 - 10:15 am
Anne Trafton | MIT News Office
May 1, 2018
Excerpt: A great deal of evidence suggests that it is more difficult to learn a new language as an adult than as a child, which has led scientists to propose that there is a “critical period” for language learning. However, the length of this period and its underlying causes remain unknown.
A new study performed at MIT suggests that children remain very skilled at learning the grammar of a new...
April 25, 2018 - 5:00 pm
MIT cognitive scientist recognized for her work on the organization of the human brain.
Julie Pryor | McGovern Institute for Brain Research
April 24, 2018
Nancy Kanwisher, the Walter A. Rosenblith Professor of Cognitive Neuroscience at MIT, has been named a recipient of the 2018 Heineken Prize — the Netherlands' most prestigious scientific prize — for her work on the functional organization of the human brain.
Kanwisher, who is a professor...
April 20, 2018 - 4:30 pm
While Poggio the teacher has taught some extraordinary leaders in AI, Poggio the scientist is renowned for his theory of deep learning, presented in papers with self-explanatory names: Theory of Deep Learning I, II and III.
Those outside academia may know Tomaso Poggio through his students, DeepMind Founder Demis Hassabis and Mobileye Founder Amnon Shashua. The former built the celebrated AI Go champion AlphaGo, while the latter has installed...
April 20, 2018 - 4:00 pm
Phil Nelson, Google Research | Google Accelerated Science team
Abstract: Google Accelerated Sciences is a translational research team that brings Google's technological expertise to the scientific community. Recent advances in machine learning have delivered incredible results in consumer applications (e.g. photo recognition, language translation), and is now...
April 19, 2018 - 6:00 pm
Neuroscientists train a deep neural network to analyze speech and music.
Anne Trafton | MIT News Office
Using a machine-learning system known as a deep neural network, MIT researchers have created the first model that can replicate human performance on auditory tasks such as identifying a musical genre.
This model, which consists of many layers of information-processing units that can be trained on huge volumes of data to perform specific...
April 18, 2018 - 2:00 pm
Mikhail Belkin, Ohio State University
Abstract:
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly interpolate the data by driving the training...
A striking feature of modern supervised machine learning is its pervasive over-parametrization. Deep networks contain millions of parameters, often exceeding the number of data points by orders of magnitude. These networks are trained to nearly interpolate the data by driving the training...
April 13, 2018 - 4:30 pm
Christof Koch, CBMM EAC member, Allen Institute for Brain Science
Abstract:
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
Rapid advances in convolutional networks and other machine learning techniques, in combination with large data bases and the relentless hardware advances due to Moore’s Law, have brought us closer to the day when we will be able to have extended conversations with programmable systems,...
April 12, 2018 - 4:30 pm
Marge Livingstone, CBMM, Harvard Medical
Host: Tomaso Poggio
This talk is open to the CBMM Community only
This talk is open to the CBMM Community only
April 6, 2018 - 1:30 pm
by Shannon Fischer
Go is an ancient board game that demands not only strategy and logic, but intuition, creativity, and subtlety—in other words, it’s a game of quintessentially human abilities. Or so it seemed, until Google’s DeepMind AI program, AlphaGo, roundly defeated the world’s top Go champion.
But ask it to read social cues or interpret what another person is thinking and it wouldn’t know where to start. It wouldn’t even understand that...
April 6, 2018 - 12:30 pm
The UNC School of Medicine has awarded the 18th Perl-UNC Neuroscience Prize to Winrich Freiwald, PhD, of The Rockefeller University and Doris Y. Tsao, PhD, of the California Institute of Technology for the discovery of brain mechanisms of face recognition. Drs. Freiwald and Tsao received the prize on April 12, 2018 in Chapel Hill.
UNC Press Release:
Freiwald, Tsao win 18th Perl-UNC Neuroscience Prize
Past winners include six scientists who...
April 4, 2018 - 11:15 am
We're very excited to announce the publication of the Brains, Minds, and Machines Summer Course on MIT OpenCourseWare!
Preparing this course to be released on OCW was a large task which required the help of many individuals. Thank you to everyone who contributed to the summer course, in ways large and small, and helped us to share this experience with the world through OCW!
Enjoy!Ellen Hildreth, CBMM Coordinator for Education
Course...
March 27, 2018 - 11:45 am
"MIT scientist among three recognized for the discovery of optogenetics
by Julie Pryor
Ed Boyden, the Y. Eva Tan Professor in Neurotechnology at MIT, has been named a recipient of the 2018 Canada Gairdner International Award — Canada’s most prestigious scientific prize — for his role in the discovery of light-gated ion channels and optogenetics, a technology to control brain activity with light.
Boyden’s work has given neuroscientists the...
March 23, 2018 - 4:00 pm
Prof. Josh McDermott
Please note room change. This meeting will be held in the McGover Reading Room Room #46-5165.
March 19, 2018 - 3:15 pm
We are glad to announce that registrations are open for the:
Regularization Methods for Machine Learning Course (RegML)
to be held 18 June - 22 June 2018, Genova Italy, in the heart of the Italian Riviera.
RegML is a 22 hours advanced machine learning course including theory classes and practical laboratory sessions. The course covers foundations as well as recent advances in Machine Learning with emphasis on high dimensional data and a core set...
March 16, 2018 - 4:00 pm
Dr. Andrei Barbu