February 15, 2019 - 4:00 pm
Tomaso Poggio and Jim DiCarlo  
black and white photo of chess pieces on a board
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...
cover of book inside of filmstrip
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
MIT 46-6011
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...
Image of a laptop displaying an article that has been stamped "Fake"
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...
Professor Antonio Torralba, MIT director of the MIT—IBM Watson AI Lab and the inaugural director of the MIT Quest for Intelligence, addresses the audience at the MIT AI Policy Congress on Jan. 15.
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,...
Venn diagram of Google X research
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...
Photo of Marine Biological Laboratory (MBL)
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...
tiles of everday scenes with computer generated mapping of that scene next to it.
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...
Photo of David Siegel
January 1, 2019 - 12:00 pm
David Siegel provides philanthropic support for MIT’s Quest for Intelligence by Brittany Flaherty, Science writer for the MIT School of ScienceScience@MIT November 1, 2018 When he was nine years old, David Siegel SM ’86, PhD ’91, took his first computer programming class at New York University and was instantly hooked. Siegel has blazed trails in computer science ever since, including a long history of philanthropy and involvement at MIT through...
Photo of Dean Sipser
January 1, 2019 - 12:00 pm
Dear Friends, The fall brings us a new academic year, many new developments, and a new issue of Science@MIT. The biggest recent change to the campus is the completion of the MIT.nano building. This remarkable new facility—from the formal announcement of its construction in 2014 to its official grand opening this fall—represents a tremendous advance in MIT’s nanoscale research capabilities. With more than 200,000 square feet of space, including...
Screenshot of a video
December 26, 2018 - 10:00 am
PUBLIC RELEASE: 4-DEC-2018 PICOWER INSTITUTE AT MIT The rat in a maze may be one of the most classic research motifs in brain science, but a new innovation described in Cell Reports by an international collaboration of scientists shows just how far such experiments are still pushing the cutting edge of technology and neuroscience alike. In recent years, scientists have shown that by recording the electrical activity of groups of neurons in key...
Photo of Prof. Matt Wilson sitting in front of multiple computer displays.
December 19, 2018 - 11:00 am
New open-source system provides fast, accurate neural decoding and real-time readouts of where rats think they are. David Orenstein | Picower Institute for Learning and Memory   The rat in a maze may be one of the most classic research motifs in brain science, but a new innovation described in Cell Reports by an international collaboration of scientists shows just how far such experiments are still pushing the cutting edge of technology and...
Photo Prof. Josh Tenenbaum
December 19, 2018 - 9:00 am
Professor honored for work on the nature and origins of intelligence in the human mind and applying that knowledge to build human-like intelligence in machines. Sara Cody | Department of Brain and Cognitive Sciences  December 19, 2018 R&D Magazine has named Josh Tenenbaum the 2018 Innovator of the Year. Tenenbaum, a professor of computational cognitive science in the Department of Brain and Cognitive Sciences at MIT, was recognized for his...
December 14, 2018 - 1:00 pm
Professor Lorenzo Rosasco of the Department of Computer Science, Bioengineering, Robotics and Systems Engineering (DIBRIS) has won a European Research Council (ERC consolidator) grant with the project "Efficient algorithms for sustainable machine learning". The project will develop new machine learning algorithms to tackle challenges in artificial intelligence and data science.  The grant will be funded with €2 million over 5 years, and is part...

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