January 14, 2021 - 1:30 pm
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
School of Science | MIT Schwarzman College of Computing
James DiCarlo, the Peter de Florez Professor of Neuroscience, has been appointed to the role of director of the MIT Quest for Intelligence. MIT Quest was launched in 2018 to discover the basis of natural intelligence, create new...
January 12, 2021 - 12:00 pm
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Jane Halpern | Department of Electrical Engineering and Computer Science
Antonio Torralba, faculty head of Artificial Intelligence and Decision Making within the Department of Electrical Engineering and Computer Science (EECS) and the Thomas and Gerd Perkins Professor of Electrical Engineering...
January 12, 2021 - 11:45 am
First virtual MIT Better World gathering featured MIT researchers sharing some of the ways the Institute excels as a hub of science and innovation.
Watch Video
Nicole Estvanik Taylor | MIT Alumni Association
“Our topic tonight, science and discovery, lives at the heart of MIT.” In his welcoming remarks for the first virtual MIT Better World gathering, W. Eric L. Grimson, MIT chancellor for academic advancement, detailed some of the...
December 16, 2020 - 10:00 am
Another recent study found that a unique signature exists in the brains of people suffering from loneliness, which makes them fundamentally distinguishable from others.
Sandipan Talukdar
While loneliness has been a matter of concern for psychiatrists and psychologists since time immemorial, social distancing, brought about by COVID-19, is emerging as an even greater threat, pushing a considerable section of people into isolation.
The adverse...
December 11, 2020 - 1:30 pm
Written by: Dan Gutfreund
Exactly one year ago, a team of researchers from the MIT-IBM Watson AI Lab and the Center for Brains, Minds, and Machines presented a new dataset, called ObjectNet, for testing object recognition models in images.
As opposed to the standard approach for large scale dataset construction in the field of computer vision, which relies on scraping images off the internet and crowdsourcing the labeling process, ObjectNet data...
December 9, 2020 - 9:45 am
Hyundai Motor Co. has decided to acquire the US robotics firm Boston Dynamics Inc. from SoftBank Group for slightly less than 1 trillion won ($921 million) and will finalize the acquisition at its Dec. 10 board meeting, according to sources with knowledge of the matter on Dec. 8.
The acquisition will become the first buyout deal for Chung Euisun as Hyundai Motor Group’s chairman since he assumed the chairmanship last October, accelerating the...
December 7, 2020 - 11:00 am
The Center for Brains, Minds and Machines is well-represented at the thirty-fourth Conference on Neural Information Processing Systems (NeurIPS 2020).
IBM-MIT launch new AI challenge to push the limits of object recognition models
Below, you will find some of the listings to papers/proceedings/posters accepted and accompanying coverage:
CBMM is proud to have hosted this year's Shared Visual Representations in Human & Machine Intelligence,...
December 4, 2020 - 9:45 am
The Association for Psychological Science (APS) is pleased to announce its lifetime achievement award recipients for 2021. As the premier international organization dedicated to advancing scientific psychology across disciplinary and geographic boarders, APS represents more than 30,000 leading scientists, academics, clinicians, researchers, educators, administrators, and students from more than 80 countries. APS’s three lifetime achievement...
December 3, 2020 - 10:45 am
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Anne Trafton | MIT News Office
Computer vision models known as convolutional neural networks can be trained to recognize objects nearly as accurately as humans do. However, these models have one significant flaw: Very small changes to an image, which would be nearly imperceptible to a human viewer, can trick them into making egregious errors...
December 1, 2020 - 3:00 pm
Presenters: Prof. Tomaso Poggio (MIT), Prof. Gabriel Kreiman (Harvard Medical School, BCH), and Prof. Thomas...
Abstract: Deep Learning architectures designed by engineers and optimized with stochastic gradient descent on large image databases have become de facto models of the cortex. A prominent example is vision. What sorts of insights are derived from these models? Do the performance metrics reveal the...
November 30, 2020 - 3:15 pm
Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.
by Ewen Callaway
An artificial intelligence (AI) network developed by Google AI offshoot DeepMind has made a gargantuan leap in solving one of biology’s grandest challenges — determining a protein’s 3D shape from its amino-acid sequence.
DeepMind’s program, called AlphaFold, outperformed around 100 other teams in a biennial...
November 24, 2020 - 10:15 pm
What's SSUP? The Sample, Simulate, Update cognitive model developed by MIT researchers learns to use tools like humans do.
Human beings are naturally creative tool users. When we need to drive in a nail but don’t have a hammer, we easily realize that we can use a heavy, flat object like a rock in its place. When our table is shaky, we quickly find that we can put a stack of paper under the table leg to stabilize it. But while these actions...
November 24, 2020 - 4:00 pm
Prof. Aleksander Mądry, CSAIL, MIT
Abstract: Large-scale vision benchmarks have driven---and often even defined---progress in machine learning. However, these benchmarks are merely proxies for the real-world tasks we actually care about. How well do our benchmarks capture such tasks?
In this talk, I will discuss the alignment...
In this talk, I will discuss the alignment...
November 10, 2020 - 6:00 pm
Dr. Keizo Kato, Fujitsu Laboratories Ltd., and
Dr. Akira Nakagawa, Artificial Intelligence Laboratory,...
Please note change in start time. This research meeting will start at 6pm EST.
Abstract: To analyze high-dimensional and complex data in the real world, deep generative models, such as variational autoencoder (VAE) embed data in a low-dimensional space (latent space) and learn a probabilistic...
Abstract: To analyze high-dimensional and complex data in the real world, deep generative models, such as variational autoencoder (VAE) embed data in a low-dimensional space (latent space) and learn a probabilistic...
November 3, 2020 - 4:00 pm
Nick Roy, CSAIL, AeroAstro, MIT
Abstract: In the last few years, the ability for robots to understand and operate in the world around them has advanced considerably. Examples include the growing number of self-driving car systems, the considerable work in robot mapping, and the growing interest in home and service robots. However...