Widening Access to Applied Machine Learning with TinyML
| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The MIT Press
2022-01-01
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| Series: | Harvard Data Science Review |
| Online Access: | https://hdsr.mitpress.mit.edu/pub/0gbwdele |
| _version_ | 1811244103239729152 |
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| author | Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Lara Suzuki Anant Agarwal Colby Banbury Massimo Banzi Matthew Bennett Benjamin Brown Sharad Chitlangia Radhika Ghosal Sarah Grafman Rupert Jaeger Srivatsan Krishnan Maximilian Lam Daniel Leiker Cara Mann Mark Mazumder Dominic Pajak Dhilan Ramaprasad J. Evan Smith Matthew Stewart Dustin Tingley |
| author_facet | Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Lara Suzuki Anant Agarwal Colby Banbury Massimo Banzi Matthew Bennett Benjamin Brown Sharad Chitlangia Radhika Ghosal Sarah Grafman Rupert Jaeger Srivatsan Krishnan Maximilian Lam Daniel Leiker Cara Mann Mark Mazumder Dominic Pajak Dhilan Ramaprasad J. Evan Smith Matthew Stewart Dustin Tingley |
| author_sort | Vijay Janapa Reddi |
| collection | DOAJ |
| first_indexed | 2024-04-12T14:20:01Z |
| format | Article |
| id | doaj.art-c36600963d9148958424b53d39c06e51 |
| institution | Directory Open Access Journal |
| issn | 2644-2353 |
| language | English |
| last_indexed | 2024-04-12T14:20:01Z |
| publishDate | 2022-01-01 |
| publisher | The MIT Press |
| record_format | Article |
| series | Harvard Data Science Review |
| spelling | doaj.art-c36600963d9148958424b53d39c06e512022-12-22T03:29:37ZengThe MIT PressHarvard Data Science Review2644-23532022-01-0110.1162/99608f92.762d171aWidening Access to Applied Machine Learning with TinyMLVijay Janapa Reddi0Brian Plancher1Susan Kennedy2Laurence Moroney3Pete Warden4Lara Suzuki5Anant Agarwal6Colby Banbury7Massimo Banzi8Matthew Bennett9Benjamin Brown10Sharad Chitlangia11Radhika Ghosal12Sarah Grafman13Rupert Jaeger14Srivatsan Krishnan15Maximilian Lam16Daniel Leiker17Cara Mann18Mark Mazumder19Dominic Pajak20Dhilan Ramaprasad21J. Evan Smith22Matthew Stewart23Dustin Tingley24Edge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaEmbedded EthiCS, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaGoogle Brain Team, Google Inc, Mountain View, California, United States of AmericaGoogle Brain Team, Google Inc, Mountain View, California, United States of AmericaGoogle Inc, Mountain View, California, United States of AmericaedX, Harvard University and Massachusetts Institute of Technology, Weston, Massachusetts, United States of America; Computer Science and Artificial Intelligence Laboratory, Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaArduino, Boston, Massachusetts, United States of AmericaedX, Harvard University and Massachusetts Institute of Technology, Weston, Massachusetts, United States of AmericaJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaHarvardX, Office of the Vice Provost for Advances in Learning, Harvard University, Cambridge, Massachusetts, United States of AmericaCreative Class LLC, Westminster, Colorado, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaCreative Class LLC, Westminster, Colorado, United States of AmericaedX, Harvard University and Massachusetts Institute of Technology, Weston, Massachusetts, United States of AmericaEdge Computing Lab, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of Americarduino, Boston, Massachusetts, United States of AmericaJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaJohn A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of AmericaAtmospheric Chemistry Laboratory, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, United States of America; Institute of Applied and Computational Sciences, Harvard University, Boston, Massachusetts, United States of AmericaHarvard Initiative on Learning and Teaching, Vice Provost for Advances in Learning Data Science and Technology Group, Harvard University, Cambridge, Massachusetts, United States of America; ABLConnect, Program on Experienced Based Learning in the Social Sciences, Harvard University, Cambridge, Massachusetts, United States of Americahttps://hdsr.mitpress.mit.edu/pub/0gbwdele |
| spellingShingle | Vijay Janapa Reddi Brian Plancher Susan Kennedy Laurence Moroney Pete Warden Lara Suzuki Anant Agarwal Colby Banbury Massimo Banzi Matthew Bennett Benjamin Brown Sharad Chitlangia Radhika Ghosal Sarah Grafman Rupert Jaeger Srivatsan Krishnan Maximilian Lam Daniel Leiker Cara Mann Mark Mazumder Dominic Pajak Dhilan Ramaprasad J. Evan Smith Matthew Stewart Dustin Tingley Widening Access to Applied Machine Learning with TinyML Harvard Data Science Review |
| title | Widening Access to Applied Machine Learning with TinyML |
| title_full | Widening Access to Applied Machine Learning with TinyML |
| title_fullStr | Widening Access to Applied Machine Learning with TinyML |
| title_full_unstemmed | Widening Access to Applied Machine Learning with TinyML |
| title_short | Widening Access to Applied Machine Learning with TinyML |
| title_sort | widening access to applied machine learning with tinyml |
| url | https://hdsr.mitpress.mit.edu/pub/0gbwdele |
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