The Massachusetts Institute of Technology (MIT) received a $129,614 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund the development of the ARION system to enable compilation of programs onto heterogeneous platforms from October 2021 through November 2023. ARION utilizes several approaches to address the growing complexity...
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 Massachusetts Institute of Technology (MIT) received a $1.2 million project grant award from the National Science Foundation Office of Advanced Cyberinfrastructure to support research activities under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will fund a collaborative research project between Aug 1, 2021 and Jul 31, 2025 to develop frameworks that converge Bayesian inverse methods and scientific machine learning in Earth system models...
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...
This $330,000 Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports collaborative research at the Massachusetts Institute of Technology (MIT) to accelerate the execution of large graph problems on large, distributed computing systems. The project aims to develop new algorithms, software frameworks, and specialized hardware to enable more efficient processing of graph...
The National Science Foundation Division of Industrial Innovation awarded a $250,000 Project Grant to the Massachusetts Institute of Technology from July 15, 2021 to June 30, 2023 under the Engineering federal grant program (CFDA 47.041). The grant funds the development of an automated tool to generate and optimize programs for operating on complex big data. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering...
The Massachusetts Institute of Technology (MIT) received a $576,064 Project Grant award from the National Science Foundation Division of Computing and Communication Foundations to support the "COLLABORATIVE RESEARCH: DASS: LEGALLY ACCOUNTABLE CRYPTOGRAPHIC COMPUTING SYSTEMS (LACHS)" project. The award, made under the Computer and Information Science and Engineering program (CFDA #47.070), will fund research and development of legally accountable cryptographic computing systems from...
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...
This Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new methods for efficient, architecture-aware algorithms for large language models (LLMs). The $360,000 award to the Massachusetts Institute of Technology (MIT) supports research spanning the entire LLM training and deployment pipeline, including: (1) new architectural primitives to overcome computational inefficiencies in...
This $571,919 Project Grant award to the Massachusetts Institute of Technology (MIT) is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of this 3-year project is to leverage algorithms and computer science knowledge to prove new complexity lower bounds, which will help elucidate the limits and possibilities of computing. The research aims to establish mathematical connections between algorithms and lower...