SBIR Phase I: Superconducting Neural Units with Adjustable Weights

SBIR 第一阶段：权重可调的超导神经单元

• 批准号: 2213032
• 负责人: Yuchao Zhou
• 金额: $ 25.56万
• 依托单位: WOLFZYC LLC
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-09-15 至 2023-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2213032&HistoricalAwards=false
• 关键词: SBIR; Phase; Superconducting; Neural; Units

The broader impact of this Small Business Innovation Research (SBIR) Phase I project aims to develop a new neuromorphic computing platform, the effects of which may be seen in many different fields, ranging from the automobile industry to robotics and biomedical applications. The reduction in energy use afforded by the technology could save up to 2% of the total electricity consumption nationwide, making it one of the most environmentally friendly computing platforms. Furthermore, the superconductor-based hardware has the potential to provide one of the fastest commercialized high-performance computing platforms for both industry and research, offering the potential to solve current computational problems in many fields. The development of high-frequency neuromorphic computing, with specific application to artificial intelligence applications, promises to strengthen the US economy. This Small Business Innovation Research (SBIR) Phase I project aims to bring to the technological forefront a high-speed superconductor electronics-based neuromorphic computer centered around neural units with adjustable weights serving as a disordered array. Currently, high-speed computing necessary for large artificial intelligence models is bottlenecked at semiconductor device architecture as Moore’s Law reaches its limits. Much of the necessary computing power is only accessible via paid run time on vast server banks owned by a select few companies that can afford to build them. By unlocking computing power based on SQUID (superconducting quantum interference device) arrays and rapid single flux quantum (RSFQ), the project aims to develop an affordable, reliable, and carbon friendly high-speed computing platform, thereby helping to solve the power/cost crisis facing currently accessible computing systems.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.

这项小型企业创新研究（SBIR）I阶段项目的更广泛影响旨在开发一个新的神经形态计算平台，从汽车行业到机器人技术和生物医学应用，它的影响可以在许多不同的领域中看到。该技术提供的能源使用的减少最多可节省全国总消耗的2％，使其成为最环保的计算平台之一。此外，基于超导体的硬件有可能为行业和研究提供最快的商业化高性能计算平台之一，从而提供了解决许多领域当前计算问题的潜力。高频神经形态计算的开发，以及在人工智能应用中的特定应用，有望增强美国经济。这项小型企业创新研究（SBIR）I阶段项目旨在使技术最前沿的高速超导电子电子计算机以神经形态计算机为中心，以可调节的重量作为无序阵列。当前，随着摩尔定律达到限制，大型人工智能模型所需的高速计算是在半导体设备架构上瓶颈的。只有在少数公司拥有的庞大的服务器银行拥有的付费运行时间才能通过基于鱿鱼（超导量子量子干扰设备）阵列和快速的单个通量量子（RSFQ）来解锁计算能力，该项目的目的是开发一个可实现的，可靠的高速计算式的系统，该项目的目的是，仅通过少数公司拥有的庞大服务器银行拥有的大量必要计算能力才能访问。 NSF的法定使命，并使用基金会的知识分子优点和更广泛的审查标准来评估，被认为是宝贵的支持。