{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,10]],"date-time":"2026-05-10T10:14:25Z","timestamp":1778408065581,"version":"3.51.4"},"reference-count":10,"publisher":"Association for Computing Machinery (ACM)","issue":"11","license":[{"start":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T00:00:00Z","timestamp":1697760000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Commun. ACM"],"published-print":{"date-parts":[[2023,11]]},"abstract":"<jats:p>A design paradigm for the future of intelligent sensors.<\/jats:p>","DOI":"10.1145\/3586991","type":"journal-article","created":{"date-parts":[[2023,10,20]],"date-time":"2023-10-20T14:04:00Z","timestamp":1697810640000},"page":"25-28","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":12,"title":["Machine Learning Sensors"],"prefix":"10.1145","volume":"66","author":[{"given":"Pete","family":"Warden","sequence":"first","affiliation":[{"name":"Stanford University, Stanford, CA, USA, and CEO of Useful Sensors, Mountain View, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew","family":"Stewart","sequence":"additional","affiliation":[{"name":"Harvard University, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian","family":"Plancher","sequence":"additional","affiliation":[{"name":"Columbia University, New York, NY, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sachin","family":"Katti","sequence":"additional","affiliation":[{"name":"Stanford University, Stanford, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Vijay Janapa","family":"Reddi","sequence":"additional","affiliation":[{"name":"Harvard University, Cambridge, MA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,10,20]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"et al","author":"Banbury C.R.","year":"2021","unstructured":"Banbury, C.R. et al. (2021, January 29). Benchmarking tinyml systems: Challenges and direction. arXiv.org. https:\/\/arxiv.org\/abs\/2003.04821"},{"key":"e_1_2_1_2_1","volume-title":"The Atlantic (Feb. 23","author":"Fussell S.","year":"2019","unstructured":"Fussell, S. The microphones that may be hidden in your home. The Atlantic (Feb. 23, 2019); https:\/\/bit.ly\/3rlnOoR"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3458723"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Holland S. et al. The dataset nutrition label. Data Protection and Privacy. (2020) 10.5040\/9781509932771.ch-001","DOI":"10.5040\/9781509932771.ch-001"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of 2021 IEEE\/ACM Symposium on Edge Computing (SEC) (Dec.","author":"Kuznetsov E.","year":"2021","unstructured":"Kuznetsov, E. et al. Securefl: Privacy preserving federated learning with sgx and trustzone. In Proceedings of 2021 IEEE\/ACM Symposium on Edge Computing (SEC) (Dec. 2021), 55--67."},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","unstructured":"Reddi V.J. et al. Widening access to Applied Machine Learning with tinyml. Harvard Data Science Review (2020) 10.1162\/99608f92.762d171a","DOI":"10.1162\/99608f92.762d171a"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.3390\/app10124102"},{"key":"e_1_2_1_8_1","unstructured":"Useful Sensors Inc. Person Sensor (Aug. 1 2023); https:\/\/bit.ly\/3t7fBoL"},{"key":"e_1_2_1_9_1","unstructured":"Warden P. et al. Machine Learning Sensors. (2020); arXiv preprint arXiv:2206.03266."},{"key":"e_1_2_1_10_1","unstructured":"Warden P. and Situnayake D. TinyML: Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers. O'Reilly. (2020)."}],"container-title":["Communications of the ACM"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3586991","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3586991","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:33Z","timestamp":1750178253000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3586991"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,20]]},"references-count":10,"journal-issue":{"issue":"11","published-print":{"date-parts":[[2023,11]]}},"alternative-id":["10.1145\/3586991"],"URL":"https:\/\/doi.org\/10.1145\/3586991","relation":{},"ISSN":["0001-0782","1557-7317"],"issn-type":[{"value":"0001-0782","type":"print"},{"value":"1557-7317","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,20]]},"assertion":[{"value":"2023-10-20","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}