Planning Grant: Engineering Research Center for Edge Intelligence

规划资助：边缘智能工程研究中心

• 批准号: 1840352
• 负责人: Marilyn Wolf
• 金额: $ 10万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2019-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1840352&HistoricalAwards=false
• 关键词: Planning; Grant; Engineering; Research; Center

The Planning Grants for Engineering Research Centers (ERC) competition was run as a pilot solicitation within the ERC program. Planning grants are not required as part of the full ERC competition, but intended to build capacity among teams to plan for convergent, center-scale engineering research.This grant will provide planning resources for a proposed Center for Edge Intelligence. The proposed center will develop new techniques for data science driven by Internet-of-Things (IoT) systems. IoT systems interact with the real world: industry, health care, agriculture, etc. IoT systems promise substantial benefits for these and other application areas by gathering and processing data from the real world. However, new approaches are required to harness the potential of IoT systems. IoT devices must operate with limits on both electrical power and communication. These factors mean that key aspects of these intelligent systems must be embodied outside of large data centers, at the edge of the Internet, close to the points at which data are created and used. This planning grant has three goals. The planning grant effort will identify a full center team including member institution researchers, diversity and inclusion coordinators, workforce development coordinators, and entrepreneurship coordinators. The proposing team will identify a broad set of stakeholders among researchers, industrial partners, entrepreneurs, and educators. The full center team and stakeholders will create a strategic plan for the Center for Edge Intelligence.Edge Intelligence is the convergence of three fields: data science, low-power computing, and distributed systems. Data science and IoT systems are typically studied, developed, and deployed by very different groups. The Center for Edge Intelligence's mission will be to build a community of stakeholders across industry and academia to develop and harness the capabilities of this emerging technology. The intellectual approach of the Center will be based on several foundations: machine learning, statistics, low-power computing, distributed algorithms. Internet-of-Things systems are widely used in manufacturing, health care, logistics, agriculture, and many other areas. Machine learning applied to IoT systems can provide new levels of customization and improved system operation. The Center for Edge Intelligence will pursue a convergent, holistic research approach in foundations, engineering, and applications. Foundational goals include machine learning algorithms designed for distributed computing systems with limited bandwidth and power. Incremental learning algorithms to customize and update systems for their particular environment. Engineering goals include distributed systems that perform machine learning on distributed platforms, including edge nodes, fog hubs, and the cloud. Low-power machine learning systems. Low-power approaches to edge- and hub-based incremental training. Applications include manufacturing, health care and wellness, agriculture, transportation and logistics.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.

工程研究中心（ERC）竞赛的计划赠款是在ERC计划中作为试点招标进行的。 在整个ERC竞争中，不需要计划赠款，但旨在在团队之间建立能力，以计划收敛的中心规模的工程研究。这项拨款将为拟议的边缘情报中心提供计划资源。拟议的中心将开发由Things Internet（IoT）系统驱动的数据科学的新技术。物联网系统与现实世界互动：行业，医疗保健，农业等。物联网系统通过收集和处理现实世界的数据为这些和其他应用程序领域提供了可观的好处。但是，需要新的方法来利用物联网系统的潜力。物联网设备必须在电力和通信上限制。这些因素意味着，这些智能系统的关键方面必须体现在大型数据中心之外，在Internet边缘，接近创建和使用数据的点。该计划赠款有三个目标。 计划赠款工作将确定一个完整的中心团队，包括成员机构研究人员，多样性和包容协调员，劳动力发展协调员和企业家协调员。提议团队将确定研究人员，工业合作伙伴，企业家和教育工作者之间的广泛利益相关者。完整的中心团队和利益相关者将为边缘情报中心制定战略计划。边缘情报是三个领域的融合：数据科学，低功率计算和分布式系统。数据科学和物联网系统通常由非常不同的组研究，开发和部署。 Edge Intelligence的使命中心将是在行业和学术界建立一个利益相关者社区，以发展和利用这项新兴技术的能力。该中心的智力方法将基于几个基础：机器学习，统计，低功率计算，分布式算法。国际网络系统广泛用于制造，医疗保健，物流，农业和许多其他领域。应用于IoT系统的机器学习可以提供新的自定义和改进的系统操作。边缘情报中心将在基础，工程和应用中采用收敛的整体研究方法。基本目标包括用于具有有限带宽和功率的分布式计算系统设计的机器学习算法。为其特定环境定制和更新系统的增量学习算法。工程目标包括在分布式平台上执行机器学习的分布式系统，包括Edge节点，雾集线器和云。低功率机学习系统。基于边缘和集线器的增量训练的低功耗方法。申请包括制造业，医疗保健和保健，农业，运输和物流。该奖项反映了NSF的法定任务，并且使用基金会的知识分子优点和更广泛的影响评估标准，被认为值得通过评估来获得支持。