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The second set of seed grants has been given to MIT researchers examining the effects and uses of generative artificial intelligence.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 2, 202435Views0Likes0Comments
In response to a call for papers by MIT President and Provost regarding generative AI, a massive interest resulted in the submission of 75 proposals. A second call for papers in the Fall resulted in an additional 53 submissions, leading to a total of 43 selected proposals receiving seed and exploratory funding. MIT President Sally…

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MIT researchers examining the implications and uses of generative AI have been granted a second wave of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 2, 202437Views0Likes0Comments
In response to a call for research proposals on generative AI issued last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart received an overwhelming response from the MIT research community. The initiative resulted in the submission of 75 proposals, with 27 receiving seed funding. Gaining significant insight from the quality of ideas received, they issued…

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MIT researchers studying the implications and uses of generative AI receive a second round of funding through seed grants.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 1, 202436Views0Likes0Comments
Last year, MIT President Sally Kornbluth and Provost Cynthia Barnhart launched an initiative to compile and publish proposals on the subject of generative artificial intelligence (AI). They requested submissions of papers detailing effective roadmaps, policy recommendations, and calls for action to further develop and understand the field. The appeal for the first round of papers generated…

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MIT researchers examining the influence and uses of generative AI have received a second phase of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJuly 1, 202435Views0Likes0Comments
Last year, MIT President Sally Kornbluth and Provost Cynthia Barnhart encouraged academics to submit papers outlining roadmaps, policy recommendations, and calls to action in the area of generative AI. This generated a strong response, with 75 submissions being made. 27 of these were selected to receive seed funding. Due to the high interest and quality of…

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The second series of funding grants has been distributed to MIT researchers investigating the effects and uses of generative AI.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJune 30, 202438Views0Likes0Comments
The Massachusetts Institute of Technology (MIT) has announced its plan to fund 16 research proposals dedicated to exploring the potential of generative Artificial Intelligence (AI). The funding process began last summer when MIT President Sally Kornbluth and Provost Cynthia Barnhart invited research papers that could provide robust policy guidelines, efficient roadmaps, and calls to action…

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MIT researchers exploring the impacts and uses of generative AI receive their second set of seed grant installments.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJune 30, 202436Views0Likes0Comments
In response to a call from MIT President Sally Kornbluth and Provost Cynthia Barnhart, researchers have submitted 75 proposals addressing the use of generative AI. Due to the overwhelming response, a second call was issued, with 53 submissions. A selected 27 from the initial call, and 16 from the second have been granted seed funding.…

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Generative AI’s impact and uses are being investigated by MIT researchers who have received their second series of seed grants.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJune 29, 202438Views0Likes0Comments
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart invited researchers to submit papers that lay out effective strategies, policy recommendations, and urgent actions within the field of generative artificial intelligence (AI). Among the 75 received proposals, 27 were selected for seed funding. Impressed by the level of interest and the quality of ideas,…

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MIT researchers examining the influence and utilization of generative AI have been given a second round of seed funding.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJune 29, 202438Views0Likes0Comments
MIT President, Sally Kornbluth, and Provost, Cynthia Barnhart, issued a call for papers last summer regarding “effective roadmaps, policy recommendations, and calls for action” in the field of generative AI. From the 75 proposals they received, 27 were chosen for seed funding. Following the enormous response, a second call for proposals was launched which resulted…

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A fresh set of seed funds has been granted to MIT researchers examining the implications and uses of generative AI in the second phase.

Administration, Algorithms, Artificial Intelligence, Community, Computer science and technology, Electrical Engineering & Computer Science (eecs), Faculty, Funding, Grants, Machine learning, MIT Schwarzman College of Computing, President Sally Kornbluth, Provost, Research, School of Architecture and Planning, School of Engineering, School of Humanities Arts and Social Sciences, School of Science, Technology and policy, Technology and society, UncategorizedJune 28, 202437Views0Likes0Comments
MIT President Sally Kornbluth and Provost Cynthia Barnhart launched a call for papers last summer to create policy recommendations and effective strategies in the realm of generative AI. The duo received 75 proposals, out of which 27 were picked for seed financing. Encouraged by the response, a second call was held in fall, resulting in…

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An algorithm developed at MIT assists in predicting the occurrence rate of severe weather conditions.

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, WeatherJune 27, 202439Views0Likes0Comments
Scientists led by Themistoklis Sapsis at MIT's Department of Mechanical Engineering have developed a strategy to "correct" the predictions of coarse global climate models, enhancing the accuracy of risk analysis for extreme weather events. Global climate models, used by policymakers to assess a community's risk of severe weather, can predict weather patterns decades or even…

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An algorithm developed by MIT aids in predicting the occurrence of severe weather conditions.

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, WeatherJune 27, 202432Views0Likes0Comments
Global climate models predict future weather conditions, but these models are limited in their ability to provide detailed forecasts for specific locations. Policymakers often need to supplement these coarse-scale models with high-resolution ones to predict local extreme weather events. However, the accuracy of these predictions heavily depends on the initial coarse model’s accuracy. Themistoklis Sapsis,…

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An algorithm originating from MIT assists in predicting the occurrence rate of severe weather conditions.

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, WeatherJune 27, 202434Views0Likes0Comments
To better predict the risks of extreme weather events due to climate change, scientists at MIT have developed a method that refines the predictions from large, coarse climate models. The key to this approach is leveraging machine learning and dynamical systems theory to make the climate models' large-scale simulations more realistic. By correcting the climate…

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