The Massachusetts Institute of Technology (MIT) received a $529,462 Project Grant award from the National Science Foundation (NSF) Division of Computing and Communication Foundations on June 1, 2021 to support research titled "COLLABORATIVE RESEARCH: CIF: MEDIUM: ANALYSIS AND GEOMETRY OF NEURAL DYNAMICAL SYSTEMS." The award is part of the NSF's Computer and Information Science and Engineering program (CFDA #47.070), which supports investigator-initiated research and education in...
The Massachusetts Institute of Technology (MIT) received a $600,000 Project Grant award from the National Science Foundation (NSF) on December 1, 2021 to fund research titled "COLLABORATIVE RESEARCH: FOUNDATIONS OF DEEP LEARNING: THEORY, ROBUSTNESS, AND THE BRAIN?" through November 30, 2024. The award is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049), which aims to promote progress in these scientific fields and strengthen the national scientific...
The Massachusetts Institute of Technology (MIT) received a $108,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations to support collaboration research on probabilistic, geometric, and topological analysis of neural networks from theory to applications. The two-year award, issued on January 1, 2022 and set to conclude on December 31, 2024, will fund research under the Mathematical and Physical Sciences program (CFDA #47.049). This...
The Massachusetts Institute of Technology (MIT) was awarded a $500,000 Project Grant from the National Science Foundation Division of Information and Intelligent Systems. The grant will support MIT's "COLLABORATIVE RESEARCH: NCS-FO: STUDYING LANGUAGE IN THE BRAIN IN THE MODERN MACHINE LEARNING ERA" project from September 15, 2021 through August 31, 2025. Under this award, MIT researchers will study human language processing and representation in the brain using modern machine...
This National Science Foundation (NSF) Project Grant under the Computer and Information Science and Engineering (CISE) program awards $602,466 to President and Fellows of Harvard College to develop new theoretical frameworks and mathematical models that elucidate how neural networks in the brain learn. The 5-year project, starting on October 1, 2023, aims to advance the understanding of brain function and integrate the research findings into educational and outreach efforts. Key focus areas...
This National Science Foundation project grant of $928,576 will fund research at the Massachusetts Institute of Technology from July 2022 to June 2025 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support investigation into the emergence and function of modular structures in biological brains and artificial learning systems. Researchers will study how modular architectures may arise through local connectivity constraints in neural networks,...
The Massachusetts Institute of Technology (MIT) received a $499,999 Project Grant award from the National Science Foundation (NSF) to conduct research titled "AF: SMALL: LOWER BOUNDS IN COMPLEXITY THEORY VIA ALGORITHMS" under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The three-year award beginning October 1, 2021 provides $499,999 in funding for MIT researchers to develop new algorithms aimed at establishing theoretical lower bounds in...
The Massachusetts Institute of Technology (MIT) received a $531,494 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on May 1, 2023 to complete work by April 30, 2026. Under this award, MIT will conduct research investigating low-degree methods for optimization in random structures and their potential and limitations. Specifically, MIT aims to verify if low-degree method-based algorithms can achieve state-of-the-art performance across a...
The National Science Foundation Division of Computing and Communication Foundations awarded a $150,000 Project Grant to the Georgia TECH Research Corporation, doing business as the Office Of Sponsored Programs, for collaborative research titled "Foundations of Deep Learning: Theory, Robustness, and the Brain?" from December 1, 2021 through November 30, 2024. The research funded under this award will explore deep learning theory, robustness, and applications for understanding brain...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) Project Grant award of $600,000 to the Massachusetts Institute of Technology (MIT) supports research into developing better algorithms for machine learning problems that involve sequential data with rich dependency structures. The project will explore learning methods for linear dynamical systems, graphical models, and hidden Markov models, with the goal of proving rigorous theoretical...