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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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Assisting beginners in creating sophisticated generative AI models

Algorithms, Artificial Intelligence, Electrical Engineering & Computer Science (eecs), Language, Machine learning, MIT Schwarzman College of Computing, School of Engineering, UncategorizedJune 22, 202431Views0Likes0Comments
Artificial intelligence (AI) models today have become increasingly complex with billions of parameters. Existing AI models are largely inaccessible to many due to a lack of widespread knowledge of how to create and control them. MosaicML, a company co-founded by Jonathan Frankle PhD '23 and MIT Associate Professor Michael Carbin, strives to overcome this issue.…

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Large language models utilize a surprisingly straightforward method to access some stored information.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedJune 20, 202437Views0Likes0Comments
Large language models (LLMs), such as those which power AI chatbots like ChatGPT, are highly complex. While these powerful tools are used in diverse applications like customer support, code generation, and language translation, they remain somewhat of a mystery to the scientists who work with them. To develop a deeper understanding of their inner workings,…

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Large language models utilize an unexpectedly uncomplicated method to recall certain stored information.

Algorithms, Artificial Intelligence, Computer Science and Artificial Intelligence Laboratory (CSAIL), Computer science and technology, Electrical Engineering & Computer Science (eecs), Human-computer interaction, Machine learning, MIT Schwarzman College of Computing, Research, School of Engineering, UncategorizedJune 20, 202433Views0Likes0Comments
Large language models (LLMs) that power artificial intelligence chatbots like ChatGPT are extremely complex and their functioning isn't fully understood. These LLMs are used in a variety of areas such as customer support, code generation and language translation. However, researchers from MIT and other institutions have made strides in understanding how these models retrieve stored…

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The MIT-Takeda Program concluded with 16 research papers, a patent, and almost 24 projects successfully completed.

Artificial Intelligence, Awards, Classes and programs, Collaboration, Data, Drug development, Electrical Engineering & Computer Science (eecs), Faculty, Graduate, Health care, Health sciences and technology, honors and fellowships, Jameel Clinic, Machine learning, Medicine, MIT Schwarzman College of Computing, Pharmaceuticals, postdoctoral, School of Engineering, Special events and guest speakers, Students, SuperUROP, UncategorizedJune 19, 202445Views0Likes0Comments

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