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（UTSA）和利用下一代网络的边缘计算人工智能研究所（ATHENA）之间的ExpandAI合作伙伴关系。在这个项目中，一个少数民族服务机构与人工智能研究所进行了新的合作，重点是扩大UTSA已经建立的研究和教育计划，并围绕开发人工智能实现共同的互补目标，同时考虑到社会的用途，并开发下一代人工智能教育和劳动力人才。合作研究的重点是受大脑工作方式启发的人工智能研究，并利用它来创建强大的计算模型，并设计用于日常设备的嵌入式人工智能系统。该项目还将在人工智能领域建立社区和新的卓越中心，这些活动以前没有得到很好的发展。 尽管人工智能系统最近取得了显着的进展，但它们通常非常耗电。该项目研究了人工智能系统中神经启发机制的结合，以及它们提高边缘人工智能解决方案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分校MATRIX AI联盟和NSF AI研究所ATHENA的研究人员之间的多学科合作。这一新的合作伙伴关系将进行合作研究，通过创建从神经机制中汲取灵感的新型人工智能模型来推进边缘的核心人工智能能力，并将设计神经形态计算系统，提供功能，鲁棒性和能源效率，特别针对边缘计算的部署。该项目还具有沉浸式研究编程，旨在加强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。该项目的部分资金来自NSF的Louis Stokes少数民族参与联盟（LSAMP）计划，该计划位于STEM卓越公平部门内。该奖项反映了NSF的法定使命，并被认为是值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估的支持。