January 26, 2016 - 3:30 pm
Thank you to Emily Mackevicius (Fee Lab) for organizing the wonderful Tutorial Series in Computational Topics for BCS! this tutorial series was hosted at MIT over the month of January 2016 as part of the MIT Independent Activities Period (IAP.)
Videos of the tutorials are posted to the CBMM Video Archive: https://cbmm.mit.edu/videos?field_video_grouping_tid[]=781
Additional information, including links to the tuttorial's wiki, are posted on the...
January 25, 2016 - 2:00 pm
For Credit MIT IAP 2016 Course
Prereq: None
Units: 1-0-1 [P/D/F]
Course will meet the week of Jan. 25 - 29, 2015
Begins Jan 25. Lectures: MTWRF
Time: 2pm-5pm
Location: MIT Bldg 46, Room 46-1015
Provides instruction and dialogue on practical ethical issues relating to the responsible conduct of...
Prereq: None
Units: 1-0-1 [P/D/F]
Course will meet the week of Jan. 25 - 29, 2015
Begins Jan 25. Lectures: MTWRF
Time: 2pm-5pm
Location: MIT Bldg 46, Room 46-1015
Provides instruction and dialogue on practical ethical issues relating to the responsible conduct of...
January 15, 2016 - 10:00 am
Tomaso Poggio
Neuroscience has made huge advances in the last few years. We now know more about how the brain works than we have ever known before. Likewise, Computer Science and Artificial Intelligence have made enormous steps forward and have become part of our every-day lives. The interaction between...
January 13, 2016 - 4:00 pm
MIT Bldg. 46 Room TBA
Tomaso Poggio, Qianli Liao, Georgios Evangelopoulos, and Tejas Kulkarni.
Thrust 5: Theories of Intelligence
The thrust aims to provide theoretical frameworks and common mathematical tools for understanding visual intelligence, for guiding computer implementations, and for informing and interpreting experiments in the Center.
Our working hypothesis for vision suggests...
The thrust aims to provide theoretical frameworks and common mathematical tools for understanding visual intelligence, for guiding computer implementations, and for informing and interpreting experiments in the Center.
Our working hypothesis for vision suggests...
January 13, 2016 - 3:00 pm
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.
January 11, 2016 (All day)
Greg Hale (CBMM Application Developer) will be leading two activities during MIT IAP 2016. Everyone in the CBMM community is invited to attend.
Do you have a dataset that you want to share, an algorithm that predicts diseases from gene mutations, or a neat way to visualize data? Maybe these...
Do you have a dataset that you want to share, an algorithm that predicts diseases from gene mutations, or a neat way to visualize data? Maybe these...
January 8, 2016 - 9:30 am
A new article in the Italian news paper "La Stampa" features an interview with Prof. Tomaso Poggio, where the topic of ethical challenges in artificial intelligence and genetic engineering are addressed.
January 4, 2016 (All day)
Greg Hale (CBMM Application Developer) will be leading two activities during MIT IAP 2016. Everyone in the CBMM community is invited to attend.
Give version control a try, in a laid back environment that's about you, your experiments, your class projects, etc. Getting over the hump with git can...
Give version control a try, in a laid back environment that's about you, your experiments, your class projects, etc. Getting over the hump with git can...
December 23, 2015 - 11:15 am
Algorithms could learn to recognize objects from a few examples, not millions; may better model human cognition.
Larry Hardesty | MIT News Office
December 23, 2015
An excerpt for the article:
"Object-recognition systems are beginning to get pretty good — and in the case of Facebook’s face-recognition algorithms, frighteningly good.
But object-recognition systems are typically trained on millions of visual examples, which is a far cry from how...
December 21, 2015 - 11:30 am
CBMM would like to thank Prof. Tomaso Poggio, Prof. Gabriel Kreiman, and Dr. Max Nickel, for making this year's symposium at NIPS possible. The symposium was a huge success.
A special thank you to all of the symposium speakers!
Prof. Tomaso Poggio, Dr. Christof Koch, Prof. Gabriel Kreiman, Dr. Andrew Saxe, Prof. Surya Ganguli, Dr. Demis Hassabis, Prof. Josh Tenenbaum, Prof. Gary Marcus, and Dr. Terrence Sejnowski.
A thank you from...
December 17, 2015 - 12:45 pm
By Anne Trafton | MIT News Office
December 16, 2015
New and exciting research has led to scientists identifying a neural population highly selective for music.
“It has been the subject of widespread speculation,” says Josh McDermott, the Frederick A. and Carole J. Middleton Assistant Professor of Neuroscience in the Department of Brain and Cognitive Sciences at MIT. “One of the core debates surrounding music is to what extent it has...
December 16, 2015 - 4:30 pm
Gabriel Kreiman
Thrust 2 Projects
Hanlin Tang and Bill Lotter - Pattern completion: behavior, physiology and computation
Matt Wilson - Presentation of the Penagos-Gershman research collaboration
Ed Boyden: Technologies for Mapping the Circuits and Mechanisms of Intelligence
Please note change in start time, this...
Hanlin Tang and Bill Lotter - Pattern completion: behavior, physiology and computation
Matt Wilson - Presentation of the Penagos-Gershman research collaboration
Ed Boyden: Technologies for Mapping the Circuits and Mechanisms of Intelligence
Please note change in start time, this...
December 16, 2015 - 3:00 pm
MIT, Bldg. 46 Room 4062
MIT Building 46 Postdoc Career Development Event
Topic: Postdoc practice chalk talk
Panel: Kay Tye, Mark Harnett, Michale Fee (MIT)
Wed. Dec. 16, 5:00 to 16:30.Location: 46-4062
Topic: Postdoc practice chalk talk
Panel: Kay Tye, Mark Harnett, Michale Fee (MIT)
Wed. Dec. 16, 5:00 to 16:30.Location: 46-4062
December 12, 2015 - 8:30 am
Prof. Joshua Tenenbaum (CBMM Research Thrust Leader) and Tejas Kulkarni (CBMM Siemens Graduate Fellow) are helping to organize the NIPS 2015 Workshop on Black Box Learning and Inference.
Overview
Probabilistic models have traditionally co-evolved with tailored algorithms for efficient learning...
Overview
Probabilistic models have traditionally co-evolved with tailored algorithms for efficient learning...
December 11, 2015 - 9:45 am
The recent Science paper, "Human-level concept learning through probabilistic program induction" by Prof. Tenenbaum, Brenden M. Lake and Ruslan Salakhutdinov, has received press coverage from the New York Times.
Excerpt from the New York Times:
"Computer researchers reported artificial-intelligence advances on Thursday that surpassed human capabilities for a narrow set of vision-related tasks.
The improvements are noteworthy because so-called...