Project Grant 2541319
- The National Science Foundation's Division of Information and Intelligent Systems awarded the University of Massachusetts $396,112 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop formal software specifications as a foundation for aligned and automated software engineering. The project creates a large-scale dataset linking natural language documentation, formal behavioral specifications, and code artifacts, along with an automated...
- Federal Grant Award Summary The University of Massachusetts received a $432,656 Project Grant from the National Science Foundation (NSF) Division of Information and Intelligent Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), effective September 1, 2025 through August 31, 2029. This collaborative research initiative addresses the misalignment between how artificial intelligence (AI) language models and humans process language, specifically focusing...
- The National Science Foundation Division of Information and Intelligent Systems awarded Brown University $447,980 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop runtime methods for efficient and observable compound AI systems. The project creates programming models, compiler techniques, and resource management approaches that enable practitioners to deploy multi-step AI systems—which combine learned components such as language...
- This $547,584 National Science Foundation project grant supports research at Arizona State University to redesign analytics databases for machine learning model serving. The goal is to develop methods bridging machine learning inference and relational algebra processing through a unified intermediate representation. This will allow native deep neural network model inferences directly from databases, eliminating cross-system latency in applications like supply chain prediction, fraud detection,...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $400,000 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop faster, more reliable, and computationally efficient algorithms for vector databases that store and search machine learning vector embeddings. The research addresses the growing demand for scalable vector database systems capable of handling semantic search across...
- The National Science Foundation Division of Information and Intelligent Systems awarded Massachusetts Institute of Technology $850,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate whether AI agents can assist in the expert-level design of networked systems. The project studies how large language models and AI systems capable of experimentation, reasoning, and hypothesis formation can participate in the design work currently...
- The National Science Foundation Office of Advanced Cyberinfrastructure awarded the University of Massachusetts Lowell $499,490 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to plan a federated, AI-ready cyberinfrastructure serving advanced microscopy, imaging, materials, biology, and environmental sciences domains. The project will investigate feasibility, community acceptance, and design requirements for a national data system that enables...
- The National Science Foundation Division of Computing and Communication Foundations awarded $462,092 to the University of Maryland Baltimore County on June 1, 2026, for collaborative research under the Computer and Information Science and Engineering program (CFDA 47.070). The project develops curricula and industry-academic partnerships to align undergraduate computer science education with evolving workforce demands in software engineering, particularly as AI-based tools reshape programming...
- The National Science Foundation Division of Information and Intelligent Systems awarded the University of South Florida $301,642 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop memory-centric hardware architectures for energy-efficient artificial intelligence inference on edge devices. The project runs through July 31, 2029, and addresses the challenge of deploying AI in power-constrained, compact devices such as wearable health...
- The National Science Foundation Division of Information and Intelligent Systems awarded $464,384 to the University of California Santa Cruz on April 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070), supporting research on secure and efficient AI infrastructure using Compute Express Link (CXL)-enabled disaggregated shared memory. The project develops secure and scalable abstractions and architectural designs for AI infrastructure that enable large-scale...
The National Science Foundation Division of Information and Intelligent Systems awarded the University of Massachusetts $386,544 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop bolt-on software tools that enable artificial intelligence-powered query processing over structured and unstructured data in existing databases. The project builds three scalable systems to lower barriers for non-expert users running AI tasks on stored information. The first thrust develops a training system for streaming predictions over multi-table databases using a multi-versioned memory approach to capture temporal dependencies while enabling parallel execution. The second thrust creates a distributed vector index that improves search throughput by coordinating work across servers through adaptive algorithms, supporting natural-language document and image retrieval. The third thrust introduces a relational key-value caching system for semantic query execution that reduces large language model inference cost by reusing intermediate representations across semantic operators. The award supports research and education activities at the University of Massachusetts Amherst through July 31, 2031. The project includes course development, hands-on assignments, and undergraduate and graduate mentoring to prepare students in AI-powered data systems, alongside open-source software release to broaden participation in the technology.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $386.5k | 7/20/26 |