This National Science Foundation (NSF) Engineering program (CFDA 47.041) award of $587,250 to The Pennsylvania State University, doing business as Penn State, will support research to create and evaluate new methods for incorporating decision support through artificial intelligence during early building design. The project aims to develop flexible machine learning models that can predict key building performance metrics, enable interactive human-computer collaboration on design exploration,...
This National Science Foundation (NSF) Engineering Directorate (CFDA 47.041) Project Grant award of $397,000.00 to North Carolina State University (NC State) aims to develop an Artificial Intelligence Engineering System Analysis Assistant (AIESAA) to automate the creation of integrated transmission-distribution grid models. Key objectives include: Leveraging advanced machine learning techniques to streamline three crucial modeling tasks: scenario classification, reduced-order model selection and...
This $250,000 project grant was awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the University of California, Los Angeles (UCLA). The project aims to develop generative artificial intelligence (AI) frameworks to aid scientific reasoning and accelerate sustainable development. Specifically, the grant will fund the creation of new generative AI architectures, objectives, and techniques to efficiently...
This EAGER (Early-Concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) will develop generative artificial intelligence (AI) methods to learn from computational physics simulations and mathematical equations. The $300,000 project aims to expand the capabilities of large language models, such as OpenAI's ChatGPT and Microsoft's Copilot, to go beyond text-based learning and make predictions on complex, coupled physics problems...
This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $149,976 to Purdue University from August 1, 2024 to July 31, 2026. The project aims to explore the use of large language models (LLMs) to develop energy-efficient software solutions for data centers, which currently consume around 2% of the U.S. energy use. The key objectives are to: 1) Create a framework for automated energy optimization of software using targeted LLM prompts and...
This National Science Foundation (NSF) Division of Mathematical Sciences Project Grant, with CFDA number 47.049, aims to build a comprehensive theoretical and algorithmic framework using artificial intelligence and machine learning (AI/ML) for detecting, tracking, forecasting, and mitigating extreme and rare but consequential events in power systems. The 2-year, $150,000 award to The Leland Stanford Junior University (Stanford University) will fund research in three areas: (A) physics-informed...
The National Science Foundation awarded a $100,003 project grant under the Engineering (47.041) federal grant program to Rensselaer Polytechnic Institute for research developing advanced artificial intelligence and machine learning techniques to intelligently control passive and hybrid conditioning systems in buildings. Specifically, the grantee will create climate- and occupant-responsive control strategies leveraging natural resources like sunlight and outdoor air to condition indoor spaces....
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...
This $275,008 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) aims to create an AI-powered framework that helps designers automatically evaluate the environmental impact of their designs and optimize them for sustainability. The key innovations include: Developing novel graph attention network (GAT) algorithms to extract lifecycle inventory (LCI) data by analyzing similarities with existing designs, addressing the issue of LCI data scarcity....
The National Science Foundation (NSF) awarded a $1,599,996 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to Purdue University. The goal of this award is to develop a new paradigm for smart energy assistants that monitor energy use and needs in affordable housing communities, and create customized interventions to mitigate energy-related disparities experienced by low to moderate income households. The project will involve...