Project Grant 2111638
Award Date
8/1/21
Completion Date
7/31/22
Dollars Obligated
$256K
Federal Agency
Division of Industrial Innovation
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Castle Rock, CO 80108, USA
Similar Awards
This Project Grant award of $305,000.00 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of a novel AI framework by Across AI, Inc. that integrates algorithmic logical reasoning with machine learning models to enhance the analysis of unstructured data. The project aims to revolutionize enterprise knowledge work by improving how businesses analyze and act on unstructured data such as documents, emails, and...
This $274,936 Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of innovative technology capable of learning to infer from unlabeled time series financial data. The project aims to address technical hurdles in machine reasoning of qualitative financial information, reliance on human annotation, difficulties with transfer learning, and scarcity of labeled financial...
This $500,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports research at Northeastern University to advance computational and data-enabled science and engineering. The project aims to develop a theoretical foundation for "Mechanics Informatics" - a new approach to learning material properties from a single, optimized mechanical test rather than requiring many tests. This will enable more efficient and cost-effective design of...
This $265,102 Project Grant, awarded by the National Science Foundation (NSF) under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports collaborative research to build empirically informed models of scientific search and progress. The research aims to investigate the causes behind the observed decline in innovative activity in science, which is vital for advancing technology, fostering social development, and tackling global issues. Using a novel mixed-method...
This $280,405 federal Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) will fund research to develop a data science-based framework for learning, predicting, and simulating the complex behaviors of large populations of advanced nanomaterials. The research aims to overcome challenges in reliably manufacturing dense populations of functional nanoparticles and nanocatalysts by combining in-situ environmental transmission electron microscopy (E-TEM)...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,932,818 to Insilicom LLC, a woman-owned, minority-owned small business, to develop an enhanced knowledge graph focused on technology-related entities and their relationships. The project aims to leverage natural language processing and predictive modeling to extract information from diverse text sources, including PubMed abstracts, patents,...
This Project Grant award, totaling $269,542, was provided by the National Science Foundation's Engineering program (CFDA 47.041) to Rutgers, The State University. The award supports the development of a combined numerical-experimental approach to understand and model the synthesis of large populations of advanced nanomaterials. The project aims to create a data science-based framework to enable learning, predicting, and simulating hard-to-model nanoscale fabrication processes, which are critical...
This Project Grant award, valued at $158,664 and awarded on June 15, 2025, is funded by the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083). The primary objective is to develop methods for using large language models (LMs) to apply existing written guidelines, such as grading rubrics and job listings, to assist with decision-making tasks like essay grading and resume screening. The project will first create datasets and annotation tools to capture how humans link...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award provides $687,382 to the Massachusetts Institute of Technology (MIT) from March 1, 2025 to February 28, 2030. The award supports research and education focused on establishing deep generative models (DGMs) for engineering design applications. Key research objectives include: (1) creating DGM frameworks that leverage historical optimization data, (2) developing algorithms to utilize invalid design data,...
This Project Grant award of $500,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) is focused on establishing a coherent knowledge representation and reasoning framework to enable concurrent optimization in hybrid remanufacturing systems. The key objectives are to: Create new cognitive encoders to unify multi-modal data from remanufacturing workflows into knowledge graphs, integrating them as retrievable memory. Advance knowledge fusion through cognitive operations...