Home Page Spotlights
Dr. Hermundstad discussed how the central visual system, operating with different goals and under different constraints, makes efficient use of resources to extract meaningful features from complex visual stimuli.
At a time of rapid advances in intelligence research across many disciplines, this initiative will encourage researchers to investigate the societal implications of their work as they pursue hard problems lying beyond the current horizon of what is known.
CBMM is happy to announce that Yen-Ling Kuo has been named the CBMM Siemens Graduate Fellow. Yen-Ling is a PhD student in Computer Science and Artificial Intelligence Laboratory (CSAIL).
This course combines cognitive neuroscience, cognitive psychology, and artificial intelligence, and enables students to learn about thinking and science in ways that impact and inform their future studies and their daily lives.
In this talk, Jeff discussed a theory that sensory regions of the neocortex process two inputs: 1) the sensory data arriving via thalamic relay cells; and 2)Jeff will propose the second is a representation of allocentric location.
As part of an investigation into the nature of humans' physical intuitions, MIT researchers trained a neural network to predict how unstably stacked blocks would respond to the force of gravity.
A warm "Thank You!" to everyone for another wonderful year of exciting advances at the Center for Brains, Minds and Machines
In this talk, Prof. Müller discussed the topic of ML applications in the sciences, in particular in neuroscience, medicine and physics.
An intensive three-week course which gives a “deep end” introduction to the problem of intelligence.
Ten-month-old infants infer the value of goals from the costs of actions, Science, Nov. 2017
On Dec. 15, 2017, Jeff Hawkins (Numenta) will discuss a theory that sensory regions of the neocortex process two inputs: 1) the sensory data arriving via thalamic relay cells; and 2)Jeff will propose the second is a representation of allocentric location.
“We have a manual for all the machines we possess, but the most important one.” After such a trivial thought – conceived during his stay at CBMM, in 2014 – Italian journalist Marco Magrini wrote a book about the human brain, mocking an appliance manual.
"Autonomous cars and Go-playing computers are impressive, but we’re no closer to machines that can think like people, says neuroscientist Tomaso Poggio." | EmTech MIT 2017, Nov. 7, 2017
This award honors outstanding researchers who are recognized as making significant contributions to the field of Computer Vision over longtime careers. This award is in memory of the late computer scientist and mathematician Prof. Azriel Rosenfeld.
Celebrating another exciting year of the BMM Summer Course where we are creating a community of leaders in the Science of Intelligence who are equally knowledgeable in neuroscience, cognitive science, and computer science. (photo of the class of 2017)