Project Grant 2616029
- The National Science Foundation Division of Information and Intelligent Systems awarded $155,000 to The Research Foundation For The State University of New York on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop data-centric artificial intelligence methods for proactive telecommunication network operations. The project runs through September 30, 2029, with performance in Albany, New York. The research organizes around three coordinated...
- The National Science Foundation Division of Computing and Communication Foundations awarded Massachusetts Institute of Technology $500,000 on August 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on reinforcement learning methods for imperfect-information games. The project develops theoretically sound, scalable policy-gradient algorithms and decision-time planning methods that enable deep reinforcement learning to operate...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Minnesota $393,606 on July 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop novel artificial intelligence methods for adaptive experimental design that accelerate scientific discovery and engineering innovation. The project will create AI-driven frameworks to help engineers and scientists adaptively select which...
- This $180,000 Project Grant award, funded by the National Science Foundation's (NSF) Division of Computer and Network Systems under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports collaborative research conducted by Arizona State University from October 1, 2025, through September 30, 2028. The project delivers a comprehensive security assessment of machine learning (ML) and artificial intelligence (AI) technologies integrated into electronic design...
- The National Science Foundation Division of Information and Intelligent Systems awarded $400,000 to the Regents of the University of Michigan on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) for collaborative research on neuro-AI foundations for long-range dependency tasks. The project develops spiking neural networks (SNNs) that efficiently handle long-range dependencies and generative tasks in edge-based AI systems by reconceptualizing SNNs...
- The National Science Foundation Division of Computing and Communication Foundations awarded the Regents of the University of Minnesota $270,000 on September 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to investigate whether scaling artificial intelligence models is sufficient to achieve scientific reasoning capabilities or whether fundamentally new approaches are required. The project, performed in Minneapolis, Minnesota through August 31, 2028,...
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of Illinois $356,787 on July 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070). The award funds research and educational activities developing self-regulating artificial intelligence agents capable of monitoring their reasoning, drawing on past experience to evaluate and explain decisions, and adapting their internal understanding based on corrective...
- The National Science Foundation Division of Information and Intelligent Systems awarded George Washington University $200,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop AI-integrated architecture and algorithms for next-generation optical networks. The project addresses the integration of artificial intelligence and machine learning into optical network control, management, and failure recovery. Historically, optical network...
- The National Science Foundation Division of Electrical, Communications and Cyber Systems awarded Massachusetts Institute of Technology $350,000 on August 15, 2026, for collaborative research on wide-area control architectures for electric power systems serving large electronic loads including AI data centers, crypto mining centers, and high-performance computing facilities. The project develops optimal control algorithms, termed FRELCO (fast, resilient, load-aware, and cost-optimal), to dampen...
- The National Science Foundation Division of Computer and Network Systems awarded Brown University $400,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop methods and tools for verifying the trustworthiness of pre-trained artificial intelligence models before their incorporation into scientific workflows and operational systems. The project addresses three major security vulnerabilities in the machine learning model supply chain....
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 requiring highly trained researchers and engineers in cloud platforms and wireless networks. The research emphasizes interpretable designs, explicit specification of design objectives, and human oversight, aiming to identify where AI can genuinely assist, where it falls short, and why. The work is organized as a structured reasoning process grounded in the scientific method, spanning discovery of decision rules, formation of abstractions, and architectural decisions in networked systems design. The project produces benchmarks, datasets, and evaluation tools for the research community and aims to inform how future engineers are trained and engage students in computing. Work is performed in Cambridge, Massachusetts. The project runs through September 30, 2030. If successful, the research could reduce the cost, time, and human expertise required to build infrastructure underpinning commerce, communication, and public services.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $850.0k | 7/30/26 |