News
March 10, 2020
In years to come, robots could assist human users in a variety of ways, both when they are inside their homes and in other settings. To be more intuitive, robots should be able to follow natural language commands and instructions...
March 9, 2020
Deep-learning models can spot patterns that humans can't. But software still can't explain, say, what caused one object to collide with another.
by Will Knight
Here’s a troubling fact. A self-driving car hurtling along the...
by Will Knight
Here’s a troubling fact. A self-driving car hurtling along the...
March 4, 2020
Computer model of face processing could reveal how the brain produces richly detailed visual representations so quickly.
Anne Trafton | MIT News Office
When we open our eyes, we immediately see our surroundings in great detail....
Anne Trafton | MIT News Office
When we open our eyes, we immediately see our surroundings in great detail....
February 28, 2020
Researchers discover that no magic is required to explain why deep networks generalize despite going against statistical intuition.
by Kris Brewer
Introductory statistics courses teach us that, when fitting a model to some...
by Kris Brewer
Introductory statistics courses teach us that, when fitting a model to some...
February 24, 2020
BEHIND THE PAPER
Moving away from alchemy into the age of science for deep learning
by Andrzej Banburski
Imagine you’re back in elementary school and just took your first statistics course on fitting models to data. One thing you...
Moving away from alchemy into the age of science for deep learning
by Andrzej Banburski
Imagine you’re back in elementary school and just took your first statistics course on fitting models to data. One thing you...
February 14, 2020
Professor Tomaso Poggio, Dr. Andrzej Banburski and M.Sc. Qianli Liao from the Center for Brains, Minds and Machines, located at the Massachusetts Institute of Technology, won the first edition of the international Scientific...
February 11, 2020
Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.
Kris Brewer | Center for Brains, Minds and Machines
Suppose you look briefly from a few feet...
Kris Brewer | Center for Brains, Minds and Machines
Suppose you look briefly from a few feet...
January 15, 2020
by Sabbi Lall
Visual art has found many ways of representing objects, from the ornate Baroque period to modernist simplicity. Artificial visual systems are somewhat analogous: from relatively simple beginnings inspired by key...
Visual art has found many ways of representing objects, from the ornate Baroque period to modernist simplicity. Artificial visual systems are somewhat analogous: from relatively simple beginnings inspired by key...
January 14, 2020
Princeton’s Joshua Peterson and Harvard’s Arturo Deza flew earlier that week to Vancouver, British Columbia for the Neural Information Processing Systems (NeurIPS) conference, the world’s premiere machine learning venue, where...
December 20, 2019
A new algorithm wins multi-player, hidden role games.
Kenneth I. Blum | Center for Brains, Minds and Machines
In the wilds of the schoolyard, alliances and conflicts are in flux every day, amid the screams and laughter. How do...
Kenneth I. Blum | Center for Brains, Minds and Machines
In the wilds of the schoolyard, alliances and conflicts are in flux every day, amid the screams and laughter. How do...