Brains, Minds + Machines Seminar Series: Communicating gradients for learning using activity dynamics
April 26, 2019 - 4:00 pm
Blake Richards, Assistant Professor, Associate Fellow of the Canadian Institute for Advanced Research (CIFAR)
Abstract: Theoretical and empirical results in the neural networks literature demonstrate that effective learning at a real-world scale requires changes to synaptic weights that approximate the gradient of a global loss function. For neuroscientists, this means that the brain must have mechanisms...
March 22, 2019 - 4:00 pm
Biography: Julio Martinez-Trujillo is Professor in the Department of Physiology and Pharmacology and Scientist at the Robarts Research Institute. He holds an Academic Chair in Autism. Prior to joining Western University in 2014, he was Associate Professor in the Department of Physiology and Canada...
March 5, 2019 - 4:00 pm
Nancy Kanwisher and Josh Tenenbaum
February 26, 2019 - 4:00 pm
February 21, 2019 - 12:45 pm
By Tom Strange We are far from AI-based systems that can reason the way humans do. Once associated with negative connotations - such as unemployment due to job automation and industry redundancy, or sci-fi movie plot-lines to ‘destroy the world’ - AI is now widely accepted, adopted and better understood by people outside of the technology sector. An array of accessible mainstream AI applications means it has been seamlessly integrated into many...
February 19, 2019 - 4:00 pm
Boris Katz, Andrei Barbu and Shimon Ullman
February 15, 2019 - 4:00 pm
Tomaso Poggio and Jim DiCarlo
How learning more about neuroscience might influence development of improved AI systems [Tech Xplore]
February 15, 2019 - 12:15 pm
Deep-learning neural networks have come a long way in the past several years—we now have systems that are capable of beating people at complex games such as shogi, Go and chess. But is the progress of such systems limited by their basic architecture? Shimon Ullman, with the Weizmann Institute of Science, addresses this question in a Perspectives piece in the journal Science and suggests some ways computer scientists might reach beyond simple AI...
February 9, 2019 - 12:45 pm
SF Studios, the Scandinavian company celebrating its 100th anniversary this year, is developing an English-language series based on Max Tegmark’s 2017 New York Times bestseller “Life 3.0: Being Human in the Age of Artificial Intelligence.” The science-fiction series will follow a group of young scientists working at a startup who discover the first sentient artificial intelligence and envision ways in which it could be used to create a better...
February 6, 2019 - 4:00 pm
Honi Sanders (Wilson + Gershman labs)
The place cells of the hippocampus create distinct maps of each context, a process known as hippocampal remapping. Past work has asked which environmental features determine which map is used, but no consistent answer has been reached. However, this approach has ignored the relevance of context...
February 6, 2019 - 9:00 am
Study uncovers language patterns that AI models link to factual and false articles; underscores need for further testing. Rob Matheson | MIT News Office New work from MIT researchers peers under the hood of an automated fake-news detection system, revealing how machine-learning models catch subtle but consistent differences in the language of factual and false stories. The research also underscores how fake-news detectors should undergo more...
January 23, 2019 - 9:30 am
MIT “Policy Congress” examines the complex terrain of artificial intelligence regulation. by Peter Dizikes | MIT News Office Scientists and policymakers converged at MIT on Tuesday to discuss one of the hardest problems in artificial intelligence: How to govern it. The first MIT AI Policy Congress featured seven panel discussions sprawling across a variety of AI applications, and 25 speakers — including two former White House chiefs of staff,...
January 22, 2019 - 1:30 pm
The X AI Residency application deadline has been extended from January 15, 2019 to February 11, 2019. X AI Residency THE AI RESIDENCY PROGRAM AT X, THE MOONSHOT FACTORY At Alphabet (formerly Google) X, we create breakthrough technologies to help solve some of the world’s hardest problems. AI is ushering in a new generation of moonshots and moonshot-takers at X. Our residency program is geared towards those who want to apply their AI abilities in...
January 22, 2019 - 9:00 am
This is the first call for applications for the 2019 Brains, Minds and Machines summer course at MBL, Woods Hole. Please circulate the course information among labs/colleagues/friends that might be interested. Thank you! Brains, Minds and Machines Summer Course 2019Advanced Research Training Courses at MBL Woods Hole, MA Directors: Gabriel Kreiman, Children’s Hospital, Harvard Medical School; and Tomaso Poggio, Massachusetts Institute of...
January 16, 2019 - 1:30 pm
A cooperative research group from Google, Stanford, and Johns Hopkins has proposed “Auto-DeepLab,” a new method which utilizes hierarchical Neural Architecture Search (NAS) for semantic image segmentation. The project team includes top AI researchers Director of the Stanford Vision Lab Fei-Fei Li; and UCLA Center for Cognition, Vision, and Learning Director Alan Yuille. Semantic image segmentation is an important a computer vision task that...
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