Hardware for machine learning: Challenges and opportunities

Hardware for machine learning: Challenges and opportunities

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Machine learning plays a critical role in extracting meaningful information out of the zetabytes of sensor data collected every day. For some applications, the goal is to analyze and understand the data to identify trends (e.g., surveillance, portable/wearable electronics); in other applications, th...

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Bibliographic Details
Main Authors: Sze, Vivienne, Chen, Yu-Hsin, Einer, Joel, Suleiman, Amr AbdulZahir, Zhang, Zhengdong
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2017
Online Access:http://hdl.handle.net/1721.1/112983
https://orcid.org/0000-0003-4841-3990
https://orcid.org/0000-0002-4403-956X
https://orcid.org/0000-0002-0376-4220
https://orcid.org/0000-0002-0619-8199

Internet

http://hdl.handle.net/1721.1/112983
https://orcid.org/0000-0003-4841-3990
https://orcid.org/0000-0002-4403-956X
https://orcid.org/0000-0002-0376-4220
https://orcid.org/0000-0002-0619-8199

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