Brain-inspired computing

Karim Arabi
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Abstract

As mobile computing becomes increasingly pervasive, so do our expectations of the devices we use and interact with in our everyday lives. We want these devices to be smarter, anticipate our needs, and share our perception of the world so we can interact with them more naturally. The computational complexity of achieving these goals using traditional computing architectures is quite challenging, particularly in a power- or thermal-constrained environment. This talk will review the rise of machine learning and brain-inspired computing and how it is impacting next generation SoC architectures and its technology drivers.
Brain-inspired计算
随着移动计算变得越来越普遍,我们对日常生活中使用和交互的设备的期望也越来越高。我们希望这些设备更智能,能预测我们的需求,并分享我们对世界的感知,这样我们就能更自然地与它们互动。使用传统计算架构实现这些目标的计算复杂性是相当具有挑战性的,特别是在功率或热受限的环境中。本次演讲将回顾机器学习和大脑启发计算的兴起,以及它如何影响下一代SoC架构及其技术驱动因素。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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