Machine Learning Systems

机器学习系统

• 批准号: CRC-2017-00113
• 负责人: Taylor, Graham
• 金额: $ 8.74万
• 依托单位: University of Guelph
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=730051
• 关键词: Machine; Learning; Systems

The Canada Research Chair in Machine Learning Systems will enhance an internationally-recognized research program, which consists of three complementary threads, unified by deep learning: 1) Algorithms and Architectures: developing new model structures and methods to automatically and efficiently learn parameters, yielding systems that are fundamentally better at converting data into useful results; 2) Applications: widening the scope of deep learning in terms of its application reach through interdisciplinary collaboration and open-source technology; and 3) Acceleration: exploiting recent advances in high-performance computing (HPC), specifically hardware accelerators, to scale the training and deployment of deep learning systems.

加拿大机器学习系统研究主席将加强一个国际公认的研究计划，该计划由三个互补的线程组成，由深度学习统一：1）算法和架构：开发新的模型结构和方法，以自动有效地学习参数，产生从根本上更好地将数据转换为有用结果的系统; 2）应用：通过跨学科合作和开源技术扩大深度学习的应用范围; 3）加速：利用高性能计算（HPC）的最新进展，特别是硬件加速器，以扩展深度学习系统的训练和部署。