Project Grant 2134108

Award Date 12/1/21
Completion Date 11/30/24
Dollars Obligated $600K
Awarding Federal Agency
Division of Mathematical Sciences
Federal Grant Program
47.049
Assistance Type
Project Grant
Place of Performance
Cambridge, MA 02139, USA
Similar Awards
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) received a $500,000 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations on June 1, 2022 to support research titled "AF: SMALL: AN ALGORITHMIC THEORY OF BRAIN BEHAVIOR: CONCEPT REPRESENTATION AND LEARNING IN SPIKING NEURAL NETWORKS." The three-year project will investigate concept representation and learning in spiking neural networks through the lens of algorithmic theory. The award...
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) 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...
The Massachusetts Institute of Technology (MIT) received a $330,000 Project Grant award from the National Science Foundation (NSF) under the Mathematical and Physical Sciences program. The grant supports research from 2023 to 2026 on non-parametric estimation techniques to address challenges with covariate shift in machine learning models. Specifically, MIT researchers will characterize fundamental limits of estimation with covariate shift, develop efficient algorithms that achieve these limits,...
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...
The National Science Foundation Division of Computing and Communication Foundations awarded a $300,000 Project Grant to Columbia University for research titled "Collaborative Research: Foundations of Deep Learning: Theory, Robustness, and the Brain" under the Mathematical and Physical Sciences program (CFDA 47.049). The three-year award running from December 2021 through November 2024 will support research into the theoretical foundations of deep learning techniques with a focus on...
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...
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...
The Massachusetts Institute of Technology (MIT) received a $300,000 Project Grant award from the National Science Foundation (NSF) Division of Computer and Network Systems on October 1, 2021 to support research titled "COLLABORATIVE RESEARCH: CNS CORE: MEDIUM: INFERENCE AND CONTROL IN OVERLAY NETWORKS." The award will fund research from October 1, 2021 through September 30, 2025 under the NSF's Computer and Information Science and Engineering program (CFDA 47.070), which supports...

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 enterprise through increased knowledge and understanding of major challenges facing the nation. MIT will utilize the funding to conduct research exploring the theoretical foundations of deep learning techniques, their robustness, and relationships to brain function over the three-year period of performance in Cambridge, Massachusetts.

Generated 1/6/24, 12:45 PM