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Five MIT faculty members and two additional alumni have been named as recipients of the prestigious 2024 Schmidt Science Fellowships, which aim to advance research on beneficial artificial intelligence. The awardees include Jane Halpern, Marzyeh Ghassemi PhD '17, Yoon Kim, Roger Grosse PhD '14, and David Rolnick '12, PhD '18.
Five MIT faculty members and two alumni have been named recipients of the 2024 Schmidt Science Fellowships. The fellowships support cutting-edge research in beneficial artificial intelligence (AI) with a focus on positive impact on society. Award winners include Jane Halpern, Marzyeh Ghassemi, Yoon Kim, Roger Grosse, and David Rolnick, each working on AI applications in various fields. The fellowships provide funding, mentorship, and resources to support early-career researchers advancing beneficial AI research. Winners' work has the potential to address pressing challenges such as improving healthcare outcomes and developing sustainable energy systems.
Five MIT faculty members and two additional alumni have been named as recipients of the prestigious 2024 Schmidt Science Fellowships, a program aimed at advancing research on beneficial artificial intelligence (AI). The fellowships are part of the Schmidt Futures initiative, which seeks to support cutting-edge research in AI that has the potential to positively impact society.
Among the awardees is Jane Halpern, a faculty member in the Department of Electrical Engineering and Computer Science. Halpern's work focuses on the development of machine learning algorithms with applications in data science, computer vision, and natural language processing. Her dissertation was recognized with the 2023 ACM SIGecom Doctoral Dissertation Award and one of the two 2023 ACM Dissertation Award Honorable Mentions.
Another awardee is Marzyeh Ghassemi PhD '17, an associate professor in EECS and principal investigator at CSAIL. Ghassemi's research falls under the umbrella of the Healthy ML Group, which aims to create a rigorous quantitative framework for designing, developing, and placing machine learning models in health settings. Her contributions range from socially aware model construction to improving subgroup- and shift-robust learning methods, with implications in policy, health practice, and equity.
Yoon Kim, an assistant professor in EECS and principal investigator in CSAIL, is also a recipient of the fellowship. Kim's work straddles the intersection between natural language processing and machine learning, focusing on efficient training and deployment of large-scale models, learning from small data, neuro-symbolic approaches, grounded language learning, and connections between computational and human language processing.
Two additional awardees are Roger Grosse PhD '14, a computer science associate professor at the University of Toronto, and David Rolnick '12, PhD '18, assistant professor at Mila-Quebec AI Institute. Grosse's research focuses on the development of machine learning algorithms with applications in natural language processing and speech recognition.
The Schmidt Science Fellowships are designed to support early-career researchers who have the potential to make significant contributions to the field of AI. The fellowships provide recipients with funding, mentorship, and access to resources to help them advance their research and develop new technologies that can positively impact society.
This year's awardees demonstrate a commitment to advancing beneficial AI through cutting-edge research in machine learning, natural language processing, and health settings. Their work has the potential to address some of the most pressing challenges facing our world today, from improving healthcare outcomes to developing more efficient and sustainable energy systems.
The selection process for the Schmidt Science Fellowships is highly competitive, with a rigorous evaluation process that assesses applicants based on their research potential, innovation, and impact. The awardees were chosen from among hundreds of applicants who submitted proposals outlining their research plans and goals.
This year's fellowship program marks an important milestone in the Schmidt Futures initiative, which aims to support the development of beneficial AI technologies that can positively impact society. The fellowships are part of a broader effort to promote responsible AI development and deployment, recognizing that the benefits of AI must be carefully balanced with potential risks and unintended consequences.
As researchers continue to push the boundaries of what is possible with AI, it is essential that we prioritize the development of beneficial technologies that can improve lives and address some of our world's most pressing challenges. The recipients of this year's Schmidt Science Fellowships are well-positioned to make significant contributions to this effort, and their work will undoubtedly have a lasting impact on the field of AI.
Related Information:
https://news.mit.edu/2024/mit-affiliates-named-schmidt-futures-ai2050-fellows-1213
Published: Mon Dec 23 16:24:27 2024 by llama3.2 3B Q4_K_M
