Photo of Prof. Alan Yuille
October 13, 2017 - 4:00 pm
Prof. Alan Yuille, John Hopkins University
Abstract: This talk will update progress on a research program which was presented in “Deep Networks and Beyond” at the CBMM AI workshop at Stanford. The goal is to develop hierarchical architectures with the same strong performance abilities as deep networks but which are also able to model the...
October 8, 2017 - 1:30 pm
"Many leading AI researchers think that in a matter of decades, artificial intelligence will be able to do not merely some of our jobs, but all of our jobs, forever transforming life on Earth.
The reason that many dismiss this as science fiction is that we've traditionally thought of intelligence as something mysterious that can only exist in biological organisms, especially humans. But such carbon chauvinism is unscientific.
From my perspective...
October 6, 2017 - 4:00 pm
CBMM PIs
We will introduce the 4 proposed modules for CBMM's renewal. CBMM PIs will present and disucss their research plans and goals at CBMM for the next 5 years. The talks session will be followed by a reception/party (6pm-8pm) to celebrate the renewal by NSF.
Contact for details: Guy Ben-Yosef, gby@mit....
Photo of ten MIT and the Broad Institute researchers.
October 5, 2017 - 4:30 pm
MIT News
By Julie Pryor | McGovern Institute for Brain Research
October 5, 2017
"The High-Risk, High-Reward Research (HRHR) program, supported by the National Institutes of Health (NIH) Common Fund, has awarded 86 grants to scientists with unconventional approaches to major challenges in biomedical and behavioral research. Ten of the awardees are affiliated with MIT and the Broad Institute of MIT and Harvard."
... "Ed Boyden, an associate...
Photo of Prof. Ed Boyden
October 5, 2017 - 4:15 pm
Prof. Ed Boyden has received the 2017 NIH Director's Transformative Research Award. This award promotes “cross-cutting, interdisciplinary approaches that could potentially create or challenge existing paradigms.”
Project Title: High-Performance Imaging Through Scattering Living Tissue
Grant ID: R01-DA-045549
Public Health Relevance Statement:
Imaging extended volumes of brain tissue, at rates that keep up with fast events like action potentials...
BostonTalks Happy Hour: Connected
September 28, 2017 - 7:00 pm
WGBH Studios
Matt Peterson, Postdoc - MIT
Join CBMM's Postdoc Matt Peterson, and others, for BostonTalks Happy Hour: Connected
Connect with WGBH, local leaders, stories, trends and each other at BostonTalks. This September, it’s all about coming together. Hear from three speakers who are doing just that with their careers.
$10 admission -...
Siemens logo
September 22, 2017 - 10:45 am
In September 2014, the Siemens Corporation 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 the CBMM goals of developing a computationally based understanding of human intelligence and establishing an engineering practice...
Photo: MIT News
September 21, 2017 - 6:15 pm
Babies can learn that hard work pays off
Study finds infants try harder after seeing adults struggle to achieve a goal.
Anne Trafton | MIT News Office
September 21, 2017
"If at first you don’t succeed, try, try again.
A new study from MIT reveals that babies as young as 15 months can learn to follow this advice. The researchers found that babies who watched an adult struggle at two different tasks before succeeding tried harder at their own...
Dr. David Ferrucci
September 15, 2017 - 2:00 pm
Dr. David Ferrucci
Abstract: AI systems should not only propose solutions or answers but also explain why they make sense. Statistical machine learning is a powerful tool for discovering patterns in data, but, Dr. Ferrucci asks, can it produce understanding or enable humans to justify and take reasoned responsibility...
ComText allows robots to understand contextual commands such as, “Pick up the box I put down.”  Photo: Tom Buehler/MIT CSAIL
August 30, 2017 - 12:30 pm
ComText, from the Computer Science and Artificial Intelligence Laboratory, allows robots to understand contextual commands.
Adam Conner-Simons | Rachel Gordon | CSAIL
Despite what you might see in movies, today’s robots are still very limited in what they can do. They can be great for many repetitive tasks, but their inability to understand the nuances of human language makes them mostly useless for more complicated requests.
For example, if you...
Image: Ho-Jun Suk - In this image, a pipette guided by a robotic arm approaches a neuron identified with a fluorescent stain.
August 30, 2017 - 12:15 pm
Success rate is comparable to that of highly trained scientists performing the process manually.
Anne Trafton | MIT News Office
Recording electrical signals from inside a neuron in the living brain can reveal a great deal of information about that neuron’s function and how it coordinates with other cells in the brain. However, performing this kind of recording is extremely difficult, so only a handful of neuroscience labs around the world do it...
"researches teach this robot just like a child"
August 22, 2017 - 1:15 pm
Tweeted from our colleagues at IIT - "The story of our @iCub on @techinsider!"
Watch the video at the link below.
Here at CBMM, we are happy to count IIT as one of our partners. Their iCub robot is a great tool for exploring developmental robotics. While it is still very far from being able to learn  like a human child, it is a tool to push AI in the right direction. The iCub is a useful platform to test models of children's learning and to...
Photo of Rhesus macaque monkeys by Amada44
July 8, 2017 - 4:00 pm
"To effectively communicate with one another, we have to understand that everyone has their own unique feelings, thoughts, desires and beliefs. Without our ability to intuit the emotions and mental states of others, there would be little room for cooperation or empathy or the many other qualities that make us human.
Scientists use the term theory of mind to describe our capacity to accurately understand one another during social interaction. We...
June 23, 2017 - 2:00 pm
Andrei Barbu
Title: On the road to understanding human and machine performance in object recognition
Abstract: According to current benchmarks machine performance on common object detection tasks approaches or even surpasses that of humans. Yet everyone's experience running object detectors indicates this is...
Photo of Rhesus macaque monkeys by Amada44
June 19, 2017 - 3:30 pm
"La capacità di gestire i rapporti sociali coinvolge una gerarchia di reti cerebrali che classificano in modi diversi gli elementi di una situazione. Una di queste reti si attiva esclusivamente quando è presente e attivo un possibile partner di una relazione sociale(red)
VAI AL VIDEO: Lo sguardo sull'interazione sociale
Nel cervello dei primati esiste un circuito neurale dedicato esclusivamente all'analisi delle interazioni sociali. A...