This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Parallel Pipes, LLC for $274,970 will support the development of a Generative Bayesian Physics-Informed Classifier (B-PIC) network. The objective is to create an AI-powered simulation tool that can democratize and enhance physics-based modeling for product engineering applications. By integrating physics-informed strategies into the network's architecture, the project aims to...
This Project Grant award of $294,759 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) is funding the development of an advanced ocean modeling platform by Submarine Scientific LLC. The platform integrates graphical processing unit (GPU)-optimized modeling software with artificial intelligence (AI) tools to automate the configuration, validation, and analysis of regional ocean models for marine carbon dioxide removal (MCDR)...
The National Science Foundation (NSF) awarded a $275,000 Small Business Innovation Research (SBIR) Phase I Project Grant to Artimatic Technologies, Inc. to develop artificial intelligence (AI) technology for automated 3D content creation. The goal is to create tools that enable experienced animators to rapidly produce high-quality 3D content and allow novices to create engaging 3D graphics without extensive technical training. The project will utilize deep neural networks to generate 3D models...
The National Science Foundation (NSF) awarded a $123,310 one-year Project Grant under its Technology, Innovation, and Partnerships (CFDA 47.084) program to the Angel Capital Association (ACA), a non-profit organization, to promote the engagement of angel investors in the "deep tech" innovation ecosystem. The key objectives of the project are to: Conduct data collection to better understand angel investor patterns in deep tech sectors such as artificial intelligence, biotechnology,...
This $304,943 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development and testing of an AI-driven foundation modeling framework of the atmosphere and ocean. The goal is to create a multimodal AI model that can provide advanced environmental intelligence to help businesses, municipalities, and governments navigate environmental volatility and extreme weather events. The award...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $304,929 to Causalit LLC is for the development of new artificial intelligence (AI) models that utilize causal understanding and reasoning to overcome limitations of existing statistical AI algorithms. The goal is to create more trustworthy, accurate, and interpretable AI systems suitable for high-trust healthcare applications. The project will explore leveraging causal...
This $274,797 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Deepseq.ai LLC supports the development of an AI-driven platform to accelerate the identification of highly developable single-domain antibodies for drug discovery. The proposed work aims to create a multimodal AI model capable of rapidly screening large libraries to generate lead molecules with favorable binding affinity, stability, and manufacturability. This project...
The National Science Foundation awarded a $586,319 Project Grant to the Texas A&M Engineering Experiment Station to support research and development under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The three-year award will fund the development of a Bayesian paradigm for physics-informed machine learning algorithms. Key products include new probabilistic methods with quantified uncertainty, computational and analytical methods, and...
This $1,168,047 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a deeper understanding of the complex problems and needs that drive technology innovation. The project involves: Collecting comprehensive datasets on technical problems, solutions, and organizations across three selected domains; 2) Applying AI/machine learning techniques to analyze this data and identify predictive...
The National Science Foundation awarded Simpact Co. a $256,000 Project Grant under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) from July 1, 2021 to December 31, 2022. The grant funds the development of advanced computational methods for forecasting multiple types of economic and social returns. The NSF Technology, Innovation, and Partnerships program seeks to advance science, engineering, and technology research and innovation leading to breakthrough technologies and...