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...
December 11, 2015 - 9:30 am
"Human-level concept learning through probabilistic program induction" by Brenden M. Lake, Ruslan Salakhutdinov, and Joshua B. Tenenbaum has been published in the Dec. 11, 2015 issue of Science. Their work was also selected for the cover image.
Abstract: People learning new concepts can often generalize successfully from just a single example, yet machine learning algorithms typically require tens or hundreds of examples to perform with similar...
December 11, 2015 - 8:30 am
Prof. Sam Gershman (CBMM, Harvard) and Prof Noah Goodman (CBMM, Stanford)
We are pleased to announce a NIPS workshop on Bounded Optimality and Rational Metareasoning, which will take place on December 11, 2015, in Montreal, Canada.
This workshop brings together computer scientists working on...
We are pleased to announce a NIPS workshop on Bounded Optimality and Rational Metareasoning, which will take place on December 11, 2015, in Montreal, Canada.
This workshop brings together computer scientists working on...
December 10, 2015 - 4:00 pm
by Joel Achenbach
The Washington Post
December 10, 2015
An excerpt from the article:
"Machines and humans learn differently. This has been a central fact of Artificial Intelligence research for decades. If you cram enough data into a machine, and let the algorithms grind away tirelessly, the computer can detect a pattern, produce a desired outcome and perhaps beat a grandmaster in chess.
Human intelligence is faster, quirkier and more nimble. We...
December 10, 2015 - 4:00 pm
By John Markoff
Dec. 10, 2015
Excerpt: "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 machine-vision systems are becoming commonplace in many aspects of life, including car-safety systems that detect pedestrians and bicyclists, as well as in video game controls, Internet search and factory...
December 10, 2015 - 3:00 pm
If you are more interested in the engineering of tomorrow -- and the science of today -- rather than in today's engineering practices....come to us!
The Center for Brains, Minds and Machines (CBMM) will be coordinating one of the three symposia at the 29th Annual Conference on Neural Information...
December 10, 2015 - 12:00 pm
Larry Hardesty | MIT News Office
December 10, 2015
Excerpt from the article:
"Researchers at MIT, New York University, and the University of Toronto have developed a computer system whose ability to produce a variation of a character in an unfamiliar writing system, on the first try, is indistinguishable from that of humans.
...
“In the current AI landscape, there’s been a lot of focus on classifying patterns,” says Josh Tenenbaum, a professor...
December 2, 2015 - 4:30 pm
Shimon Ullman, Boris Katz
Thrust 3 Projects
Yevgeni Berzak - Human Language Learning
Abstract: Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for this...
Yevgeni Berzak - Human Language Learning
Abstract: Linguists and psychologists have long been studying cross-linguistic transfer, the influence of native language properties on linguistic performance in a foreign language. In this work we provide empirical evidence for this...
December 2, 2015 - 3:30 pm
Topic: "Measuring object detection performance at scale in humans and machines" (cont.)
Wed. Dec. 02, 2015, 3:30 pm - 4:30 pm
Location: Harvard, NW-255
Brainstorming on the limitations of tasks and evaluations regarding object detection. The topic is very relevant to CBMM and the hope is to have a ...
Wed. Dec. 02, 2015, 3:30 pm - 4:30 pm
Location: Harvard, NW-255
Brainstorming on the limitations of tasks and evaluations regarding object detection. The topic is very relevant to CBMM and the hope is to have a ...
November 18, 2015 - 4:00 pm
Sam Gershman
Abstract: Reinforcement learning is typically conceived of in terms of how reward predictions and choice behavior adapt based on an agent's experience. However, experience is too limited to provide the brain with the knowledge necessary for adaptive behavior in the real world. To go beyond...
November 18, 2015 - 3:00 pm
MIT, Bldg. 46 Room 5193
November 16, 2015 - 9:00 am
Marine Biological Laboratory (MBL) is now accepting application s for the Summer 2016 Advanced Research Courses. Advanced Research Courses include the CBMM organized Brains, Minds and Machines course, which will run from August 15, 2016 to September 5, 2016, at Woods Hole, MA.
Brains, Minds and Machines
Course Date: August 15 – September 5, 2016Location: Marine Biological Laboratory (MBL), Woods Hole, MA.Directors: Gabriel Kreiman, Harvard...
November 13, 2015 - 4:00 pm
Mark J. Schnitzer
Prof. Mark J. Schnitzer, Departments of Biology and Applied Physics, Howard Hughes Medical Institute, Stanford University
Abstract: A longstanding challenge in neuroscience is to understand how the dynamics of large populations of individual neurons contribute to animal behavior and brain disease....
Abstract: A longstanding challenge in neuroscience is to understand how the dynamics of large populations of individual neurons contribute to animal behavior and brain disease....
November 9, 2015 - 6:45 pm
Congratulations to Prof. Edward Boyden who was one of five scientists presented with the Breakthrough Prize in Life Sciences last night. Prof Boyden was honored in recognition of his scientific research, specificaly for “transformative advances toward understanding living systems and extending human life.”
The Breakthrough Prize in Life Sciences honors transformative advances toward understanding living systems and extending human life.
The...