This Cooperative Agreement award from the National Science Foundation's (NSF) Small Business Innovation Research (SBIR) program, under CFDA 47.084 "NSF Technology, Innovation, and Partnerships," provides $999,942 to Lambda Function, Inc. to develop a prototype of an artificial intelligence-assisted, autonomous, numerical control programming software for advanced manufacturing. The software will provide machining strategy, cutting tool and machining parameter, and tool path...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,000,000 in funding to Gravel Capital LLC to develop an artificial intelligence-powered printed circuit board assembly (PCBA) prototyping service. The project aims to create a rapid, cost-competitive PCBA manufacturing service that leverages computer vision and AI techniques to automate the design process, reduce innovation timelines, and...
This Small Business Innovation Research (SBIR) Phase II award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $1,000,000 in funding to Ai Pow LLC, a minority-owned, small disadvantaged business located in College Station, TX. The project aims to develop a hardware-aware AutoML platform to enable efficient deployment of AI models on resource-constrained edge devices for real-time defect detection in...
This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 in funding to Sufficiently Advanced, Inc. for the development of an AI-powered robotic control system. The objective is to enhance automation capabilities and create a more adaptive future labor force by automating repetitive, dull, dirty, and dangerous tasks across various industries. The Phase I project will focus on advancing...
This $274,192 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development of an advanced generative AI toolbox for interactive Life Cycle Assessments (LCA). The primary aim is to create a domain-specific large language model that can process complex, multi-modal data to provide real-time insights into Scope 3 emissions, which are often the most significant part of a company's carbon...
This $283,965 project grant award from the National Science Foundation's Engineering program (CFDA 47.041) to Case Western Reserve University aims to develop a machine learning framework to enable the deployment of artificial intelligence solutions in manufacturing plants. The key objectives are to: Create a generic model for characterizing massive unlabeled plant data to learn similarities, and Establish a model that can efficiently adapt to new manufacturing scenarios with limited tuning....
The National Science Foundation (NSF) awarded a $300,000 Early-concept Grant for Exploratory Research (EAGER) under the Engineering program (CFDA 47.041) to The Pennsylvania State University, doing business as Penn State, to conduct research on expanding the use of artificial intelligence (AI) in manufacturing. The project focuses on developing deep clustering and generative modeling techniques to identify geometric similarities between new part designs and existing designs to improve...
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 (NSF) awarded a $981,168 Cooperative Agreement under its Technology, Innovation, and Partnerships (CFDA 47.084) program to Solarid Ar LLC, a minority-owned, veteran-owned, Asian-Pacific American-owned limited liability company. This 2-year project aims to develop an artificial intelligence (AI)-driven insect trapping and identification system that can detect, identify, and quantify insects entering insect control devices in real-time. The primary objective is to...
This Project Grant award, funded by the National Science Foundation's Engineering program (CFDA 47.041), provides $2,999,999.00 to Clarkson University to conduct research that aims to transform metal recycling facilities into agile product manufacturers. The key objectives are to: Advance artificial intelligence by developing neural networks for automated generation of computer-aided design models from user product specifications, including text, images, and sketches. Provide novel extended...