Cognitive computing safety: The new horizon for reliability / the design and evolution of deep learning workloads

Yuhao Zhu; Vijay Janapa Reddi; Robert Adolf; Saketh Rama; Brandon Reagen; Gu Yeon Wei; David Brooks

doi:10.1109/MM.2017.2

Cognitive computing safety: The new horizon for reliability / the design and evolution of deep learning workloads

Yuhao Zhu, Vijay Janapa Reddi, Robert Adolf, Saketh Rama, Brandon Reagen, Gu Yeon Wei, David Brooks

Electrical and Computer Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

This column includes two invited position papers about the challenges and opportunities in cognitive architectures.

Original language	English (US)
Article number	7866796
Pages (from-to)	15-21
Number of pages	7
Journal	IEEE Micro
Volume	37
Issue number	1
DOIs	https://doi.org/10.1109/MM.2017.2
State	Published - Jan 1 2017

Keywords

Fathom
cognitive architectures
deep learning

ASJC Scopus subject areas

Software
Hardware and Architecture
Electrical and Electronic Engineering

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10.1109/MM.2017.2

Cite this

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title = "Cognitive computing safety: The new horizon for reliability / the design and evolution of deep learning workloads",

abstract = "This column includes two invited position papers about the challenges and opportunities in cognitive architectures.",

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author = "Yuhao Zhu and Reddi, {Vijay Janapa} and Robert Adolf and Saketh Rama and Brandon Reagen and Wei, {Gu Yeon} and David Brooks",

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AU - Wei, Gu Yeon

AU - Brooks, David

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Cognitive computing safety: The new horizon for reliability / the design and evolution of deep learning workloads

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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