This Project Grant award of $724,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a new computer system and software framework called PANTHER. The goal is to address key limitations of modern artificial intelligence (AI) techniques, including vulnerability to "hallucination" and difficulty in providing explanations for outputs. The PANTHER system will comprise a highly parallel architecture suited for...
This Project Grant award of $360,000.00 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Massachusetts Institute of Technology (MIT) aims to develop new methods for efficient, architecture-aware algorithms for large language models (LLMs). The goals are to make existing LLM applications more efficient, enable new applications, and broaden access to this transformative AI technology. The key focus areas include: (1)...
The National Science Foundation (NSF) awarded a $292,237 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Illinois. The grant, titled "A Framework to Power Next-Generation AI-Based Scientific Models on Hardware with Massive Parallelism," aims to address two key challenges faced by non-computer science researchers in utilizing modern hardware with massive parallelism for training advanced AI models for scientific discovery. The...
This Project Grant award, funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083), will support the development of a specialized artificial intelligence (AI) foundation model for planning-like tasks. The $150,000 award, effective from February 1, 2025 to January 31, 2027, aims to create a compact and comprehensive AI model that can outperform and be more efficient at tasks requiring sequential decision-making, reasoning, and planning compared to the current...
This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
This Project Grant award of $600,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of Central Florida (UCF) to develop software-hardware solutions that enable efficient inference of large AI foundation models on resource-limited computer systems. The key research thrusts include: 1) designing a sparsity-aware scheduling system to address data transfer bottlenecks between GPUs and...
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 Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research to better understand the differences between how humans and AI language models process and interpret language. The $432,656 award to the University of Massachusetts (UMass) will explore techniques to align AI models more closely with human language comprehension, including investigating the relationship between model...
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 $548,499 Project Grant, awarded on June 15, 2025 by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will fund research at Brigham Young University to develop biologically-inspired artificial intelligence (AI) language models. The goal is to create AI systems that store knowledge and respond to input more like biological brains, by incorporating features like mirror neurons, long-term potentiation, and metaplasticity. The...