This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
The National Science Foundation awarded a $235,255 project grant to Georgia State University Research Foundation Inc. under the STEM Education (formerly Education and Human Resources) federal grant program (CFDA 47.076). The grant will support the development and delivery of twelve experiential learning activity sets focused on raising security awareness among college students for designing trustworthy, deep learning-based applications. The activities are intended to concretize learners'...
This $300,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support research to develop new error-correcting codes for reliable in-memory computing in next-generation artificial intelligence (AI) systems. The project, titled "COLLABORATIVE RESEARCH: NSF-BSF: CIF: SMALL: ERROR-CORRECTING CODES FOR NEXT-GENERATION ARTIFICIAL INTELLIGENCE," will explore a new approach called...
This Project Grant award from the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program provides $400,000 in funding to North Carolina State University (NC State) from October 1, 2025 to September 30, 2028. The project aims to create dynamic research experiences for undergraduate students in artificial intelligence (AI) with applications in computer science education. The key activities include: Providing hands-on research opportunities in educational technologies,...
This National Science Foundation (NSF) Project Grant award under the STEM Education (CFDA 47.076) program provides $210,000.00 to develop a lab-based curriculum and open-source platform for training students, the current workforce, and policymakers on watermarking techniques to detect AI-generated content. The objective is to bridge the education gap on this emerging technology, which is critical for addressing societal and legal concerns around the potential misuse of generative AI. The...
This National Science Foundation (NSF) STEM Education (CFDA 47.076) project grant award of $146,000.00 to Temple University aims to develop comprehensive educational modules and software-based labs to prepare students and future engineers to address machine learning (ML) security vulnerabilities and achieve trustworthy artificial intelligence (AI) systems. The project will create practice-in-the-loop learning experiences for students to understand the security of ML in computer vision, speech...
The National Science Foundation (NSF) awarded a $127,000 Project Grant under the STEM Education program (CFDA 47.076) to the New Jersey Institute of Technology (NJIT) to develop comprehensive educational modules focused on the security of machine learning (ML) models in artificial intelligence (AI) systems. The project aims to create a practice-in-the-loop learning experience for students to understand the security vulnerabilities and solutions for ML in computer vision, speech recognition,...
This $812,312 project grant, awarded by the National Science Foundation's STEM Education program (CFDA 47.076), aims to develop and research learning trajectories (LTs) to support middle and high school students' understanding of artificial intelligence (AI) concepts. The project will design and pilot test learning activities and assessments based on the LTs, offer teacher professional development, and research the effectiveness of the LT-based activities when implemented in classrooms. Key...
This National Science Foundation (NSF) project grant under the STEM Education (CFDA 47.076) program provides $185,496 to the University of North Texas to engage approximately 500 high school students and 25 teachers from under-resourced communities in the design and application of AI-enabled microelectronics technologies. The goal is to develop a high school curriculum that integrates computer science and engineering using microelectronics and AI as the context, in order to prepare students...
This $199,999 Project Grant was awarded by the National Science Foundation (NSF) under the STEM Education (CFDA 47.076) program. The grant supports the development and evaluation of an age-appropriate, career-driven AI educational program in smart manufacturing for 50 high-school students from underserved Alabama school districts. Key program components include: Creation of AI learning modules focused on the fused filament fabrication (FFF) additive manufacturing process, incorporating real-time...