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Unpacking the “black box” to build better AI models
... boxes” because even the scientists who build them don’t understand everything that is going on under the hood. Stefanie Jegelka ... loved about MIT, from the very beginning, was that the people really care deeply about research and creativity. That is what I ...
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Building explainability into the components of machine-learning models
... features are so complex or convoluted that the user can’t understand them, does the explanation method do any good? MIT researchers ... types of users, from artificial intelligence experts to the people affected by a machine-learning model’s prediction. They also offer ...
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Machine learning experts from around the world compete to improve cancer immunotherapy
... University of Athens, adding that because they couldn’t find similar problems online, “we had to develop something new ourselves, ... General Hospital (MGH) to run the challenge. Over 900 people registered for the first part of the competition — making it ...
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Algorithm helps artificial intelligence systems dodge “adversarial” inputs
... that your sensors are not great, or your measurements aren’t perfect, which is often the case,” says Michael Everett, a postdoc in ... handle unpredictable interactions in the real world. “People can be adversarial, like getting in front of a robot to block its ...
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Avoiding shortcut solutions in artificial intelligence
... to focus on more complex features of the data that it hadn’t been considering. Then, by asking the model to solve the same task two ways ... but very practical questions that are really important to people who are trying to deploy these networks,” says Joshua Robinson, a PhD ...
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A step toward safe and reliable autopilots for flying
... walls or staying undetected. Many existing AI methods aren’t able to overcome this conflict, known as the stabilize-avoid problem, and ... has been a longstanding, challenging problem. A lot of people have looked at it but didn’t know how to handle such high-dimensional ...
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LIDS joins the MIT Stephen A. Schwarzman College of Computing
... of new knowledge, but academic institutions themselves don’t change that quickly. The rise of AI is probably the biggest recent example of ... in the disciplines; the disciplines are changing the way people do computing.” Under the leadership of Asu Ozdaglar, the deputy ...
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Making better decisions when outcomes are uncertain
... simplifying assumptions. In an MDP, a given decision doesn’t always yield a predictable result; it could yield a range of possible ... least represents a big step in the right direction. “People are not going to start using something that is so sample-intensive right ...
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Book a Conference Room
... You can install the app using the instructions on the IS&T website . In the Atlas app, you can use the Spaces Pilot (not the ... address and tap the Search button (this will only work for people with MIT accounts). More information can be found on this help ...
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Nonlinear thinker
... while the set of nonlinear ones is huge and varied. Most people were exposed to both types in algebra class. A mathematical function ... values of x and y that make that equation true? You can’t. You may remember from algebra class that x2 – 2xy + y2 is another way of ...