PARTNER: Neuro-Inspired AI for the Edge at UTSA (NAIAD)

合作伙伴： UTSA (NAIAD) 的神经启发人工智能边缘

• 批准号: 2332744
• 负责人: Dhireesha Kudithipudi
• 金额: $ 280万
• 依托单位: University of Texas at San Antonio
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2027-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332744&HistoricalAwards=false
• 关键词: PARTNER; Neuro; Inspired; AI; Edge

This project is an ExpandAI Partnership between the University of Texas San Antonio (UTSA) and the AI Institute for Edge Computing Leveraging Next-generation Networks (ATHENA). In this project, a minority-serving institution leads a new collaboration with an AI Institute focused on scaling up already-established research and education programs at UTSA and to pursue shared, complementary goals around developing AI with use for society in mind and for developing the next generation of AI education and workforce talent. The collaborative research focuses on the AI research that is inspired by how the brain works, and to use that to create robust computational models and design AI systems for embedded use in everyday devices. The project will also build community and new centers of excellence in AI where such activities were not previously well developed. Despite the remarkable recent progress in AI systems, they are typically power-hungry. This project investigates the incorporation of neuro-inspired mechanisms in AI system and their potential to improve the energy efficiency and robustness of AI solutions for the edge. This collaboration is a multidisciplinary partnership between researchers at the University of Texas at San Antonio’s MATRIX AI Consortium and the NSF AI Institute ATHENA. This new partnership will conduct collaborative research that advances core AI capabilities for the edge by creating novel AI models that draw inspiration from neural mechanisms and will design neuromorphic computing systems that offer functionality, robustness, and energy efficiency specifically targeting deployment in edge computing. The project also features immersive research programming designed to strengthen AI competencies in UTSA and ATHENA and further disseminated to the broader professional community to support contribute to an inclusive future AI workforce. The project is partially funded by NSF’s Louis Stokes Alliances for Minority Participation (LSAMP) program within the Division of Equity for Excellence in STEM.”This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该项目是德克萨斯大学圣安东尼奥大学（UTSA）与AI边缘计算研究所利用下一代网络（雅典娜）之间的扩展合作伙伴关系。在这个项目中，一个少数派服务机构领导了与一家专注于扩大UTSA已建立的研究和教育计划的AI研究所的新合作，并购买围绕社会使用并发展下一代AI教育和劳动力人才的共享AI的共同目标。协作研究的重点是由大脑工作方式启发的AI研究，并使用它来创建强大的计算模型和设计AI系统，以在每天设备中嵌入使用。该项目还将在AI中建立社区和新的卓越中心，在此之前，此类活动以前没有得到很好的发展。尽管AI系统最近取得了重大进展，但它们通常是渴望的。项目研究了AI系统中神经启发机制的基础设施及其提高AI溶液对边缘的能效和鲁棒性的潜力。这项合作是德克萨斯大学圣安东尼奥大学Matrix AI财团与NSF AI Institute Athena的研究人员之间的跨学科合作伙伴关系。这种新的合作伙伴关系将通过创建新颖的AI模型来从神经元机制中汲取灵感，并将设计神经形态计算系统，从而提高核心AI能力，从而提高AI的核心AI功能，并设计具有功能，鲁棒性和能量效率的神经形态计算系统，这些效率专门针对边缘计算中的部署。该项目还具有沉浸式研究计划，旨在增强UTSA和Athena的AI能力，并进一步传播到更广泛的专业社区，以支持为包容性的未来AI劳动力做出贡献。该项目由NSF的路易斯·斯托克斯联盟（Louis Stokes）联盟（in Sem efformenty in STEM的股票卓越表现）部分资助。