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

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:
$280.0万
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
项目状态:
未结题
起止时间:
2023-09-15 至 2027-08-31

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中文摘要
翻译
该项目是德克萨斯大学圣安东尼奥分校(UTSA)和利用下一代网络的人工智能边缘计算研究所(雅典娜)之间的扩展AI合作伙伴关系。在这个项目中,一个为少数群体服务的机构领导着与一个人工智能研究所的新合作,专注于扩大已经在UTSA建立的研究和教育项目,并围绕发展人工智能追求共同、互补的目标,同时考虑到对社会的使用,以及培养下一代人工智能教育和劳动力人才。这项合作研究的重点是受大脑工作方式启发的人工智能研究,并利用这一研究创建强大的计算模型,设计嵌入日常设备中的人工智能系统。该项目还将在以前没有很好开展此类活动的地方建立社区和新的人工智能卓越中心。尽管人工智能系统最近取得了令人瞩目的进展,但它们通常都很耗电。本项目研究在人工智能系统中融入神经启发机制,以及它们在提高边缘人工智能解决方案的能效和稳健性方面的潜力。这项合作是德克萨斯大学圣安东尼奥分校的矩阵人工智能联盟和NSF人工智能研究所雅典娜的研究人员之间的多学科合作伙伴关系。这一新的合作伙伴关系将进行协作研究,通过创建从神经机制中获得灵感的新型人工智能模型来提升边缘的核心人工智能能力,并将设计专门针对边缘计算部署提供功能、健壮性和能效的神经形态计算系统。该项目还以身临其境的研究方案为特色,旨在加强UTSA和雅典娜的人工智能能力,并进一步传播给更广泛的专业社区,以支持为包容性的未来人工智能劳动力做出贡献。该项目的部分资金来自NSF在STEM卓越公平分部内的Louis Stokes少数群体参与联盟(LSAMP)计划。该奖项反映了NSF的法定使命,并通过使用基金会的智力优势和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
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.
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EFRI BRAID: Efficient Learning of Spatiotemporal Regularities in Humans and Machines through Temporal Scaffolding
  • 批准号:
    2317706
  • 项目类别:
    Standard Grant
  • 资助金额:
    $200.0万
  • 财政年份:
    2023
  • 负责人:
    Dhireesha Kudithipudi
  • 依托单位:
Conference: NSF International Workshop on Large Scale Neuromorphic Computing
  • 批准号:
    2231027
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.0万
  • 财政年份:
    2022
  • 负责人:
    Dhireesha Kudithipudi
  • 依托单位:
海外基金