October 2, 2020 - 10:30 am
In some situations, asking “what if everyone did that?” is a common strategy for judging whether an action is right or wrong. Anne Trafton | MIT News Office Imagine that one day you’re riding the train and decide to hop the turnstile to avoid paying the fare. It probably won’t have a big impact on the financial well-being of your local transportation system. But now ask yourself, “What if everyone did that?” The outcome is much different — the...
September 29, 2020 - 4:00 pm
Profs. Jim DiCarlo, Tomaso A Poggio, and Joshua Tenenbaum
Panel details:
Profs. Jim DiCarlo, Tomaso A Poggio, and Joshua Tenenbaum will discuss and debate the relationship between engineering and science in CBMM and the field:
We all believe that if we want to understand how our brain computes intelligence, we need a synergistic combination of the science...
September 24, 2020 - 9:15 am
By Jo He-rim (herim@heraldcorp.com) Hyundai Motor Group said Thursday it has scouted Tomaso Poggio and Daniela Rus, experts on artificial intelligence, to work together on various projects of AI technology development. Poggio and Rus are serving as technology consultants and have been giving advice on utilizing AI to build planning and technological strategies for new business models, to establish a global research organization and to set...
September 22, 2020 - 4:00 pm
Hosted via Zoom
Dr. Brian Cheung, BCS Computational Fellow, MIT
Abstract: Learning is one  of the hallmarks  of human intelligence. It marks a level  of flexibility and adaptation to new information that no artificial model has achieved at this point. This remarkable ability to learn makes it possible to accomplish a multitude  of cognitive tasks without...
September 15, 2020 - 4:00 pm
Hosted via Zoom
Prof. George Em Karniadakis, Brown University
Abstract: It is widely known that neural networks (NNs) are universal approximators of continuous functions, however, a less known but powerful result is that a NN with a single hidden layer can approximate accurately any nonlinear continuous operator. This universal approximation theorem of...
August 31, 2020 - 11:15 am
Dr. Barbara Partee is an MIT alum who was a guest speaker at the precursor event to CBMM - MIT150 Symposia: Brains, Minds and Machines. by Maria Iacobo When Barbara Partee PhD ’65 was growing up in Baltimore County, her parents told her she could be anything she wanted. Her dad took it one step further, advising that “if you have some talent, then you have an obligation to do something worthwhile.” Partee took that advice to heart, and became a...
August 26, 2020 - 10:30 am
IAIFI will advance physics knowledge — from the smallest building blocks of nature to the largest structures in the universe — and galvanize AI research innovation. by Laboratory for Nuclear Science The U.S. National Science Foundation (NSF) announced today an investment of more than $100 million to establish five artificial intelligence (AI) institutes, each receiving roughly $20 million over five years. One of these, the NSF AI Institute...
Image and sumamry courtesy of the researchers, edited by MIT News
August 26, 2020 - 9:00 am
Study finds that the fusiform face area is active when blind people touch 3D models of faces. by Anne Trafton | MIT News Office More than 20 years ago, neuroscientist Nancy Kanwisher and others discovered that a small section of the brain located near the base of the skull responds much more strongly to faces than to other objects we see. This area, known as the fusiform face area, is believed to be specialized for identifying faces. Now, in a...
August 24, 2020 - 9:00 am
Description: Up until now, we’ve been smarter than our tools. But that might change drastically sooner than we know. Isn’t it time to think about that?  
August 19, 2020 - 11:45 am
New book from the MIT Press explains how to 'Speak and Write to Persuade and Inform' The MIT Press Announcement from the MIT Press: Make it Clear by legendary MIT professor Patrick Henry Wilson to publish September 22nd "He had an uncanny ability to synthesize seemingly disparate ideas into clear, concise, didactic, and impactful statements, combined with an original and distinct way of thinking." - Gabriel Kreiman, Harvard University "At the...
August 14, 2020 - 8:45 am
New statistical model may help scientists understand how animals infer whether surroundings are novel or haven’t changed enough to be a new context. by David Orenstein | Picower Institute for Learning and Memory Among the many things rodents have taught neuroscientists is that, in a region called the hippocampus, the brain creates a new map for every unique spatial context — for instance, a different room or maze. But scientists have so far...
August 7, 2020 - 11:30 am
The Herbert A. Simon Prize recognizes scientists who have made important and sustained contributions to understanding human and machine intelligence through the design, creation, and study of computational artifacts that exhibit high-level cognition. The Cognitive Systems Foundation and the Herbert Simon Society co-sponsor the Prize, which comes with a cash award of $10,000. Last year, after considering some excellent...
August 4, 2020 - 10:00 am
Part of the visual cortex dedicated to recognizing objects appears predisposed to identifying words and letters, a study finds. Anne Trafton | MIT News Office Humans began to develop systems of reading and writing only within the past few thousand years. Our reading abilities set us apart from other animal species, but a few thousand years is much too short a timeframe for our brains to have evolved new areas specifically devoted to reading. To...
August 2, 2020 - 1:45 pm
MIT researchers’ new theory illuminates machine learning’s black box. by Cami Rosso The resurgence of artificial intelligence (AI) is largely due to advances in pattern-recognition due to deep learning, a form of machine learning that does not require explicit hard-coding. The architecture of deep neural networks is somewhat inspired by the biological brain and neuroscience. Like the biological brain, the inner workings of exactly why deep...
July 21, 2020 - 10:45 am
Recent advances give theoretical insight into why deep learning networks are successful By Sabbi Lall, McGovern Institute Deep learning systems are revolutionizing technology around us, from voice recognition that pairs you with your phone to autonomous vehicles that are increasingly able to see and recognize obstacles ahead. But much of this success involves trial and error when it comes to the deep learning networks themselves. A group of MIT...

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