News
ML 2.0: Machine learning for many
Automated data science tools developed by MIT and Feature Labs deliver their first AI product.
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JDA Software collaborates with MIT to advance research in intelligent supply chains
Multiyear collaboration, led by Professor David Simchi-Levi, will focus on advancing research in machine learning, optimization, and consumer behavior modeling.
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Neural networks everywhere
New chip reduces neural networks’ power consumption by up to 95 percent, making them practical for battery-powered devices.
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Professor Alex Pentland Banks On Blockchain To Bring Predictive Analytics To The Masses
Predictive analytics remains a complex field, and is still far removed from the average person. For new industries like the world of crypto, the field is essentially non-existent, and some believe this is the reason why cryptocurrencies are so volatile....
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Putting the brain at the center of anesthesiology
Emery N. Brown explains how statistics and neuroscience improve anesthesiology at the American Association for the Advancement of Science's annual meeting.
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IDSS Faculty Affiliates named 2018 Sloan Research Fellows
IDSS faculty affiliates Tamara Broderick and Stefanie Jegelka have been named 2018 Sloan Research Fellows by the Alfred P. Sloan Foundation.
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Stephen Graves elected to the National Academy of Engineering
Stephen C. Graves, the Abraham J. Siegel Professor of Management Science at the MIT Sloan School of Management, and a member of the IDSS faculty leadership team, has been elected into the National Academy of Engineering (NAE).
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3Q: Daron Acemoglu on technology and the future of work
“We need to look to the past in the face of modern innovations in machine learning, robotics, artificial intelligence, big data, and beyond,” says the economist.
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Institute launches the MIT Intelligence Quest
New Institute-wide initiative will advance human and machine intelligence research. It is anticipated that faculty and students from IDSS will play a critical role in this initiative.
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Location detection when GPS doesn’t work
Theoretical study shows how to make wireless localization much more accurate
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