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Launched in February of this year, the MIT Generative AI Impact Consortium (MGAIC), a presidential initiative led by MIT’s Office of Innovation and Strategy and administratored by the MIT Stephen A. Schwarzman College of Computing, issued a call for proposals, inviting researchers from across MIT to submit ideas for innovative projects studying high-impact uses of generalized AI models.

The call received 180 submissions from nearly 250 faculty and staff, covering all five schools and colleges at MIT. The overwhelming response throughout the institute reflects growing interest in AI and after the AI ​​week generated by MIT and calls for impact files. 55 proposals were selected for MGAIC’s inaugural seed grants, several of which were funded by founding company members of the consortium.

On May 13, more than 30 funding recipients made recommendations to the conference community.

Chandrakasan added: “The amazing response to our call for proposals is an incredible testament to the energy and creativity that MGAIC inspires at MIT. We especially thank our founding members for their support and vision to bring this effort to life to life.” “One of the most striking thing about MGAIC is that it is a truly transnational initiative. The deans of all five schools, the colleges collaborate to shape and implement it.”

Vivek F. Farias, Patrick J. McGovern (1959), Tim Kraska, a professor at the MIT Sloan School of Management and a co-faculty member of the consortium, and associate professor of electrical engineering and computer science (CSAIL) at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), made an appearance in a five-minute light introduction.

Highlights of the demo include:

Ola Ozernov-Palchik, a research scientist at the McGovern Brain Institute, proposed: “AI-driven counselors and open datasets to enable early literacy education,” said AI-Tutors for PK-7 students, which propose improvements to PK-7 students to reduce literacy differences.

“Developing JAM_BOTS: Real-time collaborative agent for real-time human music improvisation,” by Anna Huang, assistant professor of music and assistant professor of electrical engineering and computer science, and Joe Paradiso, Alexander W. Dreyfoos (1954) in the media arts and media arts, promoting human performances to enhance the media arts and scientific community of humanity.

“Genius: Generative Intelligence for Urban Sustainability”, proposed by Norhan Bayomi, a postdoctoral fellow at the MIT Environmental Solutions Program, is a research assistant at the Urban Metabolism Group, aims to address key gaps in assessing and standardized approaches based on benchmark urban climate policies.

Georgia Perakis, Georgia Perakis, dean and professor of operations management, operations research and statistics at the MIT Sloan School of Management, who is co-chair of Dan Huttenlocher, a man who is the principal of Mit Schwarzman Computing of Computing the Evernity the Inderiped of Inderiped of Indections repainsive of Indections repainsive of Indections repainsive of Indections repainsive of Indections. space. ”

“It’s just the beginning,” he continued. “We are at the forefront of a historic moment – ​​MIT has the opportunity and responsibility to purposefully shape the future of generative AI and shape the future of generative AI with excellence and caution.”

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