MIT Maritime Consortium releases report on understanding the proposed nuclear trans-Atlantic maritime corridor
Authors analyze policy and governance challenges and offer a path forward for nuclear-powered commercial vessels moving routinely between US and UK ports.
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Introducing the Minerals Stewardship Consortium at MIT
The consortium, co-directed by IDSS faculty Christopher Knittel, convenes industry, academia, and policy leaders to navigate competing demands and reimagine materials supply.
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“Robot, make me a chair”
An AI-driven system developed by a team including IDSS faculty members Faez Ahmed and Lawrence Sass lets users design and build simple, multicomponent objects by describing them with words.
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IDSS partners with Masai for Machine Learning in India
Online learners in the ‘Machine Learning with Python’ program will learn the foundations of ML and AI, from data handling to neural networks, with support from an IDSS Teaching Assistant.
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New method improves the reliability of statistical estimations
A new technique developed by IDSS affiliate Tamara Broderick can help scientists in economics, public health, and other fields understand whether to trust the results of their experiments.
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Making clean energy investments more successful
Tools for forecasting and modeling technological improvements and the impacts of policy decisions can result in more effective and impactful decision-making, says recent article co-authored by IDSS faculty Jessika Trancik.
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Prognostic tool could help clinicians identify high-risk cancer patients
Using a versatile problem-solving framework, researchers including IDSS faculty Devavrat Shah and SES and IDPS student Jessy (Xinyi) Han show how early relapse in lymphoma patients influences their chance for survival.
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When companies “go green,” air quality impacts can vary dramatically
Cutting air travel and purchasing renewable energy can lead to different effects on overall air quality, even while achieving the same CO2 reduction, says new research from team including SES student Albert Chen and IDSS faculty Noelle Selin.
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A smarter way for large language models to think about hard problems
New technique from researchers including IDSS faculty Navid Azizan enables LLMs to dynamically adjust the amount of computation they use for reasoning, based on the difficulty of the question.
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MIT researchers demonstrate ship hull modifications to cut fuel use
Wedge-shaped vortex generators, developed by team including members of the MIT Maritime Consortium, reduce drag in ship hulls, which could advance decarbonization for the shipping industry.
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