Aude Oliva

Executive Director, Quest for Intelligence at Massachusetts Institute of Technology

Aude Oliva

Aude Oliva

Executive Director, Quest for Intelligence at Massachusetts Institute of Technology

Biography

With the success of new computational architectures for visual processing, such as convolutional neural networks (CNN) and access to image databases with millions of labeled examples the state of the art in computer vision is advancing rapidly. One important factor for continued progress is to understand the representations that are learned by the inner layers of these deep architectures. Using a combination of neuro-imaging techniques of the human brain, and computer science methods, the talk will show how meaningful information emerge in the human brain, and within deep learning architectures, and how CNN architectures can benefit from neuroscience.

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Massachusetts Institute of Technology

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Associate Director of the Core-Quest for Intelligence at Massachusetts Institute of Technology

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Director, Project on Technology, the Economy & National Security at Massachusetts Institute of Technology

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Head, Computation & Biology Group at MIT Computer Science and Artificial Intelligence Laboratory

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Dean, School of Science at Massachusetts Institute of Technology

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Dean, School of Engineering at Massachusetts Institute of Technology

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Founder at World Wide Web Foundation

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Principal Investigator at MIT Computer Science and Artificial Intelligence Laboratory

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Benefit Plan Administrator at Massachusetts Institute of Technology Retiree Medical Benefit Plan Trust

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Provost at Massachusetts Institute of Technology

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Vice President & General Counsel at Massachusetts Institute of Technology

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Aude Oliva
Executive Director, Quest for Intelligence at Massachusetts Institute of Technology
Career History
Executive Director, Quest for Intelligence
Current

Massachusetts Institute of Technology (MIT) is a private research university located in Cambridge, Massachusetts, United States. MIT has five schools and one college, containing a total of 32 academic departments, with a strong emphasis on scientific, engineering, and technological education and research. Founded in 1861 in response to the increasing industrialization of the United States, the institute used a polytechnic university model and stressed laboratory instruction. MIT was elected to the Association of American Universities in 1934.

Principal Research Scientist
Current

MIT’s Computer Science and Artificial Intelligence Laboratory: A system designed to recognize specific scenes, which is a key ingredient in making computers smarter, turned out to also be able to identify objects as an unintended side effect. When humans look at a picture, they automatically make a general judgement call about what’s going on in the scene – they intuit setting and context, essentially. This is a crucial skill that current computer vision and machine learning systems have a lot of trouble with, which can hinder the ability of intelligent systems designed to take on tasks like, say, driving or delivering packages. MIT researchers embarked on tackling scene identification, improving the performance of previous attempts by as much as 33 percent.

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