Natural Language Processing’s Crazy Busy Start to 2019
March 15, 2019 - 10:15 am
by Gino Diño Natural language processing (NLP) and Generation (NLG) continue to boom, powered by rapid advances in machine learning. Slator continually monitors NLP and NLG as the umbrella category to which machine translation (MT) belongs, because developments in these areas may eventually impact the language services market. Additionally, machine translation as well as language services and tech are mixing well with the broader AI and machine...
MIT researchers have found that the part of the visual cortex known as the inferotemporal (IT) cortex is required to distinguish between different objects.  Image: Chelsea Turner, MIT
March 13, 2019 - 10:45 am
Study shows that a brain region called the inferotemporal cortex is key to differentiating bears from chairs. Anne Trafton | MIT News Office As visual information flows into the brain through the retina, the visual cortex transforms the sensory input into coherent perceptions. Neuroscientists have long hypothesized that a part of the visual cortex called the inferotemporal (IT) cortex is necessary for the key task of recognizing individual...
Boris Katz
March 13, 2019 - 9:30 am
Boris Katz has spent his career trying to help machines master language. He believes that current AI techniques aren’t enough to make Siri or Alexa truly smart. by Will Knight iri, Alexa, Google Home—technology that parses language is increasingly finding its way into everyday life. Boris Katz, a principal research scientist at MIT, isn’t that impressed. Over the past 40 years, Katz has made key contributions to the linguistic abilities of...
Prof. Tomaso Poggio speaking in Prague
March 11, 2019 - 1:15 pm
At the end of the 2019 edition of the Machine Learning Conference of Prague, we spent some time together with one of the event’s speaker, Tomaso Poggio, who is the Eugene McDermott professor in MIT’s Department of Brain and Cognitive Sciences and the director of the NSF Center for Brains, Minds and Machines at MIT. As one of the founders of computational neuroscience, he is a devote supporter of interdisciplinarity as a fundamental instrument...
Becoming Human: Unnatural Genius [Channel News Asia]
March 11, 2019 - 9:45 am
A new video series episode exploring Artificial Intelligence features three CBMM researchers - Tomaso Poggio, Elizabeth Spelke, and Max Tegmark - starting around 38:48. The whole episode is worth watching if you have the time. Synopsis about the series from the production website follows: "Enlai explores how natural intelligence inspires artificial intelligence. He meets A.I. trained to think like artists, musicians, doctors & scientists,...
Top row: (l-r) Maxwell Sherman, Lily Weng, Yen-Ling Kuo, Guillermo Bernal. Second row: (l-r) Marie Charpignon, Mohamed Ismail, Subby Olubeko, Manon Revel.
March 7, 2019 - 3:45 pm
Research projects show creative ways MIT students are connecting computing to other fields. Kim Martineau | MIT Quest for Intelligence ... Robots that understand language The more that robots can engage with humans, the more useful they become. That means asking for feedback when they get confused and seamlessly absorbing new information as they interact with us and their environment. Ideally, this means moving to a world in which we talk to...
March 5, 2019 - 4:00 pm
MIT 46-5165
Nancy Kanwisher and Josh Tenenbaum
February 26, 2019 - 4:00 pm
Gabriel Kreiman
1s and 0s with a silouette of a head full of numerals
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  
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...