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An algorithm developed at MIT aids in predicting the occurrence of severe weather events.

Algorithms, Artificial Intelligence, Climate, Climate change, Computer modeling, Defense Advanced Research Projects Agency (DARPA), Disaster response, Earth and atmospheric sciences, Environment, Fluid dynamics, Hurricanes, Machine learning, Mechanical engineering, Natural disasters, Planetary science, Research, School of Engineering, Uncategorized, WeatherMarch 27, 202438Views0Likes0Comments
Assessing a community’s risk of extreme weather events – such as catastrophic storms and catastrophic flooding – is a key task for policymakers who are trying to prepare for the potential impacts of global climate change. Despite major advancements in technology and modeling techniques, however, these forecasts leave a lot to be desired. Now, a…

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Bridging the gap between design and production of optical gadgets.

Artificial Intelligence, Biological engineering, Computer science and technology, Electronics, Machine learning, Mechanical engineering, MIT Schwarzman College of Computing, MIT.nano, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMarch 7, 202445Views0Likes0Comments
Researchers from MIT and the Chinese University of Hong Kong have developed a digital simulator that seeks to improve photolithography's precision, often used in computer chips and optical devices manufacture. The process uses light to etch intricate designs onto surfaces, but minor discrepancies often cause devices' final performance to deviate from designers' initial intentions. The…

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Six students from MIT have been chosen as fellows for the MIT-Pillar AI Collective in the spring of 2024.

Artificial Intelligence, Awards, Data, Deshpande Center, Electrical Engineering & Computer Science (eecs), Graduate, honors and fellowships, Innovation and Entrepreneurship (I&E), Machine learning, Mechanical engineering, postdoctoral, Robotics, School of Engineering, Startups, Students, UncategorizedMarch 7, 202438Views0Likes0Comments
The MIT-Pillar AI Collective, a partnership between the Massachusetts Institute of Technology's (MIT) School of Engineering and Pillar VC, has named six fellows for the spring 2024 semester. Each fellow is a graduate student in their final year of a master's or PhD program who will conduct research in the fields of AI, machine learning,…

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The new system pinpoints medications that should not be concurrently consumed.

Artificial Intelligence, Computer science and technology, Drug delivery, Machine learning, Mechanical engineering, Medicine, National Institutes of Health (NIH), Research, School of Engineering, UncategorizedMarch 7, 202440Views0Likes0Comments
Researchers at MIT, Brigham and Women’s Hospital, and Duke University have developed a method for identifying the protein transporters different drugs use to traverse the digestive tract. This could help to avoid dangerous drug interactions and enhance patient treatment as two medications that use the same transporter may interact negatively if prescribed together. The method…

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