Photo of Prof. Alexander (Sasha) Rakhlin
May 18, 2018 - 4:00 pm
 Prof. Sasha Rakhlin
Please note change in date, talk was rescheduled from April 6th to May 18th.
May 11, 2018 - 4:00 pm
Prof. Nancy Lynch, MIT CSAIL
Title: An Algorithmic Theory of Brain Networks
This talk will describe my recent work with Cameron Musco and Merav Parter, on studying neural networks from the perspective of the field of Distributed Algorithms.   In our project, we aim both to obtain interesting, elegant theoretical results, and...
John Shlens
May 4, 2018 - 2:00 pm
Jon Shlens, Google Brain
Abstract:
Recent advances in machine learning have profoundly influenced our study of computer vision. Successes in this field have demonstrated the expressive power of learning representations directly from visual imagery — both in terms of practical utility and unexpected expressive abilities. In...
Photo of Prof. Elizabeth Spelke
May 2, 2018 - 11:45 am
The Cognitive Neuroscience Society (CNS) awarded Prof. Elizabeth Spelke with the 2018 George A. Miller Award during teh CNS 2018 Annual Meeting, on March 25, 2018, in Boston, MA.
The George A. Miller Prize in Cognitive Neuroscience was established in 1995 by the Cognitive Neuroscience Society to honor the innovative scholarship of George A. Miller, whose many theoretical advances have greatly influenced the discipline of cognitive neuroscience....
Photo of several children writing on a chalk board
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...
Photo of Prof. Nancy Kanwisher
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 23, 2018 - 2:15 pm
General Information for the X AI Residency
Location: Google X headquarters, Mountain View, CA
Duration: 12 weeks
Requirements: Candidates must be enrolled in an academic program - working towards completing Masters/PhD studies
Start Date: last week in May, 2019
Application Deadline: March 15, 2019. Apply here: https://goo.gl/forms/NJnnErnDYwc25Y8k2
During this X AI Residency individuals can expect:


To be placed on one of - the confidential or...
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...
MIT neuroscientists have developed a machine-learning system that can process speech and music the same way that humans do.  Image: Chelsea Turner/MIT
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...
Photo of Prof. Mikhail Belkin, Ohio State University
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...
Photo of Dr. Christof Koch
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,...
Photo of Prof. Marge Livingstone
April 12, 2018 - 4:30 pm
Marge Livingstone, CBMM, Harvard Medical
Host: Tomaso Poggio
This talk is open to the CBMM Community only
Candace Ross is a graduate student in the Center for Brains, Minds and Machines at the McGovern Institute. Photo: Kris Brewer
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...
Photo of Prof. Winrich Freiwald
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...
Image from BMM Course on MIT Open Course Ware (MIT OCW.)
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...