This $546,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will support research at the Pennsylvania State University (Penn State) to advance trustworthy, human-centered summarization capabilities utilizing large language models. The research aims to develop novel summarization techniques that incorporate fine-grained user preferences, address fairness and bias, and honor human knowledge. The...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) project aims to develop a universal natural language processing (NLP) model designed specifically for low-resourced languages. The primary technical objective is to create an NLP model capable of handling unique linguistic features, leveraging limited data, and incorporating cultural and contextual nuances to reduce language barriers and increase...
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 Small Business Innovation Research (SBIR) Phase I project, awarded by the National Science Foundation (NSF) under the CFDA 47.084 Technology, Innovation, and Partnerships program, aims to develop a large language model to improve communication between clinical researchers and participants in clinical trials. The goal is to optimize engagement and retention of participants, which can prevent trial failures. The $273,188 project will use cluster analysis of communications data from several...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,920 to Arclet LLC aims to enhance public health communication by leveraging artificial intelligence (AI) and natural language processing (NLP) technologies. The project seeks to develop a scalable platform that enables health communicators to create, customize, and measure the effectiveness of health messages tailored to diverse cultural and linguistic contexts. Key...
The National Science Foundation (NSF) awarded Insilicom LLC a $275,000 SBIR Phase I Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The grant supports the development of AI-powered, commercially viable applications enabled by Insilicom's large-scale biomedical knowledge graph. Key objectives include increasing the coverage of the knowledge graph, building a novel literature alert system called iPulse, and enhancing Insilicom's versatile query interface...
This National Science Foundation (NSF) SBIR Phase I Project Grant award of $274,996 to Algoface Inc., dated March 1, 2024, aims to develop a novel AI system called "Face Analyzer/Semantic Search" that bridges descriptive text and facial photos. Unlike conventional facial recognition systems, this technology aims to enable facial analysis and search without requiring a probe photo for comparisons. The key objectives are to construct a comprehensive training dataset, expand computer...
This $256,800 Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) is funding the development of a holistic system for comprehensive student assessment. The goal is to leverage AI and natural language processing (NLP) tools to analyze diverse student learning data, including essays, written assignments, and reflections, to provide educators with real-time, detailed insights on student progress. This will...
This $274,904 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an integrated computer vision capability to construct detailed 3D models from 2D photographs. The project aims to integrate geometric and semantic methods to accurately extract critical infrastructure asset features, such as utility pole height, inclination, wire gauges, deterioration, and...
Contextualize, LLC received a $255,964 Project Grant award from the National Science Foundation Division of Industrial Innovation on August 1, 2021 for a project titled "SBIR PHASE I: AGENT-BASED IDENTIFICATION OF CONSTITUTIVE RELATIONSHIPS FROM LARGE MANUFACTURING DATASETS." The project aims to develop agent-based techniques to identify constitutive relationships within large manufacturing datasets. This work supports the NSF Directorate for Engineering's goal of improving innovation,...