The National Science Foundation awarded a $400,000 Project Grant to Stanford University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will support research and education activities to develop conceptual and mathematical understanding of large language models. Specifically, the university will conduct research analyzing simplified generative text models and language models trained on such data to gain insights into their inner...
The National Science Foundation Division of Information and Intelligent Systems awarded a $1.2 million Project Grant to the International Computer Science Institute of Berkeley, California from October 1, 2021 to September 30, 2025. The grant supports research under the Computer and Information Science and Engineering program (CFDA 47.070) to develop scalable second-order methods for training, designing, and deploying machine learning models. The CFDA program aims to advance computing and...
The National Science Foundation Division of Information and Intelligent Systems awarded a $500,000 Project Grant to Stanford University from October 1, 2021 to September 30, 2024. The grant supports research titled "USING AND GATHERING DATA FOR EFFICIENT BATCH REINFORCEMENT LEARNING" under the Computer and Information Science and Engineering program (CFDA 47.070). This three-year Project Grant will fund research at Stanford University to develop techniques for using and gathering...
The National Science Foundation Division of Information and Intelligent Systems awarded a $500,000 Project Grant to Stanford University from October 1, 2021 to September 30, 2024 under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to develop new tools for studying structural and inductive bias in natural language processing models. The Computer and Information Science and Engineering program supports investigator-initiated research and...
The Leland Stanford Junior University received a three-year $231,036 Project Grant 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 support research exploring hardware-aware matrix computations for deep learning applications. Specifically, the university will study how to use structured matrices in concert with modern hardware constraints to...
This Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, aims to explore a new mathematical lens for understanding machine learning through combinatorics, optimization, and graph theory. The $599,963 award to the University of Southern California will fund research to address fundamental questions in machine learning, such as optimal learning algorithms and the characteristics of learnable...
The National Science Foundation awarded a $499,979 project grant to the George Washington University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support research towards developing high-performance machine learning techniques on graphs from October 1, 2021 to September 30, 2024. The Computer and Information Science and Engineering program aims to advance computing and informatics research and education. This award will further those goals by...
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 National Science Foundation (NSF) awarded a $199,994 Project Grant through the STEM Education (CFDA 47.076) program to The Leland Stanford Junior University to explore how high school youth, particularly those from historically marginalized communities, interact with and learn about generative AI and machine learning tools. Over a one-year period, the researchers will pilot classroom and extracurricular activities, collect quantitative and qualitative data, and analyze findings to develop...
The National Science Foundation (NSF) awarded a $299,993 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Chicago. The grant supports a collaborative research project on the "Foundations of Few-Round Active Learning" in supervised machine learning. The key objectives are to advance active learning algorithms and improve understanding of their capabilities in scenarios with limited interaction rounds. The research aims...