This Project Grant award, with a total funding of $549,999, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program. The primary objective is to develop a time-sensitive large model training platform for dynamic data analytics, enabling real-time adaptability of large-scale deep learning models across various applications such as climate modeling, traffic management, and virtual infrastructure twins. The...
This $432,656 project grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the University of Massachusetts (UMass) to explore ways of aligning how artificial intelligence (AI) language models and humans process language. The goal is to better understand the reasons for the discrepancy between how AI and humans handle temporary semantic ambiguity in language comprehension. Specifically,...
The National Science Foundation (NSF) awarded a $630,000 project grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Saint Louis University (SLU) to modernize its campus cyberinfrastructure to support artificial intelligence (AI)-enhanced research and education. The "MODERNCARE" project addresses the university's outdated high-performance computing (HPC) system by establishing a new HPC cluster with advanced CPU and GPU nodes. This infrastructure...
This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $600,000 to The University of Central Florida Board of Trustees to develop software-hardware solutions that enable efficient execution of large AI foundation models, like those powering advanced AI applications, on smaller, resource-limited computer systems. The key research thrusts include: 1) designing a sparsity-aware scheduling system to...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
This $100,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program aims to develop a holistic benchmarking infrastructure for evaluating large language models used in software engineering. The key activities include: Conducting surveys and interviews with the software engineering and machine learning research communities to gather requirements and understand barriers in evaluating large language models for code....
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $360,000 to the Massachusetts Institute of Technology (MIT) aims to develop new efficient methods for large language models (LLMs) across their entire training and deployment pipeline. The key objectives are to: (1) create architectural primitives that overcome the computational inefficiencies of transformers, (2) develop efficient training algorithms to...
This $499,999 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support collaborative research to investigate the theoretical foundations of compositional learning in large language models (LLMs) based on transformer architectures. The research aims to advance the understanding of how LLMs, such as GPT-4, LLAMA 2, and CLAUDE 3, can decompose complex tasks into simpler intermediate steps to...
This Project Grant award, valued at $134,992 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research by Rensselaer Polytechnic Institute (RPI) to develop energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to leverage dynamic connectivity to reduce redundancy in AI models, provide architectural support for elastic processing through heterogeneous computing,...
This Project Grant award of $225,000.00 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports collaborative research to improve the code generation capabilities of large language models (LLMs). The project aims to integrate program analysis techniques, such as symbolic execution and Bayesian analysis, to develop metrics for evaluating the quality of LLM-generated code and train a differentiable reward model to...