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2 weeks ago | 
news.mit.edu | Michaela Jarvis |MIT Lincoln Laboratory
Behavioral economist Sendhil Mullainathan has never forgotten the pleasure he felt the first time he tasted a delicious crisp, yet gooey Levain cookie. He compares the experience to when he encounters new ideas. “That hedonic pleasure is pretty much the same pleasure I get hearing a new idea, discovering a new way of looking at a situation, or thinking about something, getting stuck and then having a breakthrough.
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Jan 22, 2025 | 
news.mit.edu | Michaela Jarvis |MIT Lincoln Laboratory
Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to mitigate associated risks, while also seeking opportunities to apply the technologies to help with preexisting social concerns.
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Jan 16, 2025 | 
news.mit.edu | Michaela Jarvis |MIT Lincoln Laboratory
Amid the benefits that algorithmic decision-making and artificial intelligence offer — including revolutionizing speed, efficiency, and predictive ability in a vast range of fields — Manish Raghavan is working to mitigate associated risks, while also seeking opportunities to apply the technologies to help with preexisting social concerns.
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Jan 13, 2025 | 
news.mit.edu | Anne McGovern |MIT Lincoln Laboratory
Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the artificial intelligence systems that run on them, more efficient. Here, Gadepally discusses the increasing use of generative AI in everyday tools, its hidden environmental impact, and some of the ways that Lincoln Laboratory and the greater AI community can reduce emissions for a greener future.
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Jan 9, 2025 | 
energy-daily.com | David Chandler |MIT Lincoln Laboratory
How hard is it to prevent recurring blackouts in Puerto Rico? by David Chandler | MIT Laboratory for Information and Decision SystemsBoston MA (SPX) Jan 10, 2025
Researchers at MIT's Laboratory for Information and Decision Systems (LIDS) have shown that using decision-making software and dynamic monitoring of weather and energy use can significantly improve resiliency in the face of weather-related outages, and can also help to efficiently integrate renewable energy sources into the grid.
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Jan 7, 2025 | 
news.mit.edu | David Chandler |MIT Lincoln Laboratory
Researchers at MIT’s Laboratory for Information and Decision Systems (LIDS) have shown that using decision-making software and dynamic monitoring of weather and energy use can significantly improve resiliency in the face of weather-related outages, and can also help to efficiently integrate renewable energy sources into the grid.
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Aug 14, 2024 | 
news.mit.edu | Anne McGovern |MIT Lincoln Laboratory
In late 2023, the first drug with potential to slow the progression of Alzheimer's disease was approved by the U.S. Federal Drug Administration. Alzheimer's is one of many debilitating neurological disorders that together affect one-eighth of the world's population, and while the new drug is a step in the right direction, there is still a long journey ahead to fully understanding it, and other such diseases.
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Feb 26, 2024 | 
news.mit.edu | MIT Lincoln Laboratory
MIT’s Laboratory for Information and Decision Systems (LIDS) has been awarded $1,365,000 in funding from the Appalachian Regional Commission (ARC) to support its involvement with an innovative project, “Forming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform.”The grant was made available through ARC's Appalachian Regional Initiative for Stronger Economies, which fosters regional economic transformation through multi-state collaboration.
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Oct 16, 2023 | 
cacm.acm.org | MIT Lincoln Laboratory
View as:PrintMobile AppShare:The popular children's game of telephone is based on a simple premise: The starting player whispers a message into the ear of the next player. That second player then passes along the message to the third person and so on until the message reaches the final recipient, who relays it to the group aloud. Often, what the first person said and the last person heard are laughably different; the information gets garbled along the chain.
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Jun 30, 2023 | 
frontiersin.org | MIT Lincoln Laboratory
Michael Yee1* Anindya Roy2 Meghan Perdue2 Consuelo Cuevas1 Keegan Quigley1 Ana Bell3 Ahaan Rungta2 Shigeru Miyagawa4 1Artificial Intelligence Technology Group, MIT Lincoln Laboratory, United States 2Open Learning, Massachusetts Institute of Technology, United States 3Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, United States 4Department of Linguistics and Philosophy, Massachusetts Institute of Technology, United States The final, formatted...
