Conference: NSF International Workshop on Large Scale Neuromorphic Computing

会议：NSF 大规模神经形态计算国际研讨会

• 批准号: 2231027
• 负责人: Dhireesha Kudithipudi
• 金额: $ 1万
• 依托单位: University of Texas at San Antonio
• 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: 2022-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231027&HistoricalAwards=false
• 关键词: Conference; NSF; International; Workshop; Large

The workshop will be held in conjunction with the International Conference on Neuromorphic Systems (ICONS) 2022. Neuromorphic information processing seeks to develop artificial neural systems, whose design principles are based on biological nervous systems. Advantages of this paradigm including low-energy fault-tolerant computing and life-long learning make this technology logical candidate for the next generation of AI systems at the edge.The present project is a half-day research workshop on large scale neuromorphic computing infrastructure. This workshop will bring together globally recognized leaders in neuromorphic computing and its application domains as well as nationally recognized HPC leaders to initiate discussions on the opportunities and challenges in developing large scale neuromorphic computing systems and merging them into heterogeneous cyberinfrastructure. The proposed workshop is intended to establish a continuous dialog between experts in academia, industry, application sectors, and national research labs, to shape the direction and accelerate neuromorphic research activities towards addressing the future cyberinfrastructure needs.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.

该研讨会将与国际神经形态系统会议（ICONS）共同举行。2022。神经形态信息处理旨在开发人工神经系统，其设计原理基于生物神经系统。该范式的优点，包括低能断层计算和终身学习，使这项技术逻辑候选者是边缘下一代AI系统的逻辑候选者。目前的项目是大规模神经形态计算基础架构的半天研究研讨会。该研讨会将在神经形态计算及其应用领域以及全国认可的HPC领导者中汇集全球认可的领导者，以开始讨论开发大规模神经形态计算系统的机遇和挑战，并将它们合并为异质的Cyber​​infrasture。拟议的研讨会旨在在学术界，行业，应用程序领域和国家研究实验室之间建立一个连续的对话，以塑造方向并加快神经形态研究活动，以满足未来的网络基础设施需求。该奖项反映了NSF的法定任务，并通过评估基金会的范围来反映出与基金会的支持者有关的支持，并具有基金会的范围。