Journal Articles

Lead Organizations Title Author(s) Publication Date Links
Harvard John A. Paulson School of Engineering and Applied SciencesBarnard CollegeStanford University Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers Shvetank Prakash, Matthew Stewart, Colby Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi Communications of the ACM (CACM) Coming Soon in 2023 PDF
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Stanford UniversityHarvard John A. Paulson School of Engineering and Applied SciencesBarnard College Machine Learning Sensors: A Design Paradigm for the Future of Intelligent Sensors Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi Communications of the ACM (CACM) Coming Soon in 2023 Webpage
Technical Report
Universidade Federal de Itajubá (UNIFEI) Coffee Disease Classification at the Edge using Deep Learning João Vitor Yukio Bordin Yamashita, João Paulo R.R. Leite Smart Agricultural Technology August 2023 DOI
Centro Atómico BarilocheInstituto Balseiro Design and Development of a Family of Integrated Devices to Monitor Animal Movement in the Wild Laila Daniela Kazimierski, Andrés Oliva Trevisan, Erika Kubisch, Karina Laneri, Nicolás Catalano Sensors March 2023 DOI
Pontificia Universidad JaverianaUniversity of Calabria A TinyML Deep Learning Approach for Indoor Tracking of Assets Diego Avellaneda, Diego Mendez, Giancarlo Fortino Sensors January 2023 DOI
University of RwandaThe Abdus Salam International Centre for Theoretical Physics (ICTP)Universidade Federal de Itajubá (UNIFEI) On-Device IoT-Based Predictive Maintenance Analytics Model: Comparing TinyLSTM and TinyModel from Edge Impulse Irene Niyonambaza Mihigo, Marco Zennaro, Alfred Uwitonze, James Rwigema, Marcelo Rovai Sensors June 2022 DOI
Harvard John A. Paulson School of Engineering and Applied SciencesedX Widening Access to Applied Machine Learning with TinyML Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, 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 Harvard Data Science Review January 2022 DOI

Conference Proceedings

Lead Organizations Title Author(s) Publication Date Links
Al Akhawayn University in Ifrane How TinyML Can be Leveraged to Solve Environmental Problems: A Survey Hatim Bamoumen, Anas Temouden, Nabil Benamar, Yousra Chtouki IEEE International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies November 2022 DOI
Universidade Federal de Itajubá (UNIFEI) Atrial Fibrillation and Sinus Rhythm detection using TinyML (Embedded Machine Learning) G. Silva, M.D. Lima, J.A.F. Filho and M.J. Rovai IX Latin American Congress and XXVIII Brazilian Congress on Biomedical Engineering October 2022  
University of KhartoumThe Abdus Salam International Centre for Theoretical Physics (ICTP)Universidade Federal de Itajubá (UNIFEI) Classifying Mosquito Wingbeat Sound Using TinyML Moez Altayeb, Marco Zennaro, Marcelo Rovai ACM Conference on Information Technology for Social Good September 2022 DOI
Pontificia Universidad JaverianaUniversity of Calabria BLE-based Indoor Positioning Platform Utilizing Edge Tiny Machine Learning Diego Avellaneda, Diego Mendez, Giancarlo Fortino IEEE International Symposium on Dependable, Autonomic and Secure Computing September 2022 DOI
Harvard John A. Paulson School of Engineering and Applied Sciences Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots Sabrina M. Neuman, Brian Plancher, Bardienus Duisterhof, Srivatsan Krishnan, Colby Banbury, Mark Mazumder, Shvetank Prakash, Jason Jabbour, Aleksandra Faust, Guido C.H.E. de Croon, Vijay Janapa Reddi IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS) June 2022 DOI
African Center for Excellence in Internet of ThingsUniversity of RwandaThe Abdus Salam International Centre for Theoretical Physics (ICTP) TinyML in Africa: Opportunities and Challenges Samson Otieno Ooko, Marvin Muyonga Ogore, Jimmy Nsenga, Marco Zennaro 2021 IEEE Globecom Workshops (GC Wkshps) December 2021 DOI

Other Publications

Lead Organizations Title Author(s) Publication Date Links
Harvard John A. Paulson School of Engineering and Applied SciencesStanford UniversityBarnard CollegeEdge ImpulseUseful Sensors Datasheets for Machine Learning Sensors Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Brian Plancher, Vijay Janapa Reddi arXiv Preprint June 2023 PDF
The Abdus Salam International Centre for Theoretical Physics (ICTP)Harvard John A. Paulson School of Engineering and Applied Sciences Bridging the Digital Divide: the Promising Impact of TinyML for Developing Countries Marco Zennaro, Brian Plancher, Vijay Janapa Reddi The UN 8th Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals May 2023 PDF
The Abdus Salam International Centre for Theoretical Physics (ICTP)Barnard CollegeHarvard John A. Paulson School of Engineering and Applied Sciences TinyML: Applied AI for Development Marco Zennaro, Brian Plancher, Vijay Janapa Reddi The UN 7th Multi-stakeholder Forum on Science, Technology and Innovation for the Sustainable Development Goals May 2022 PDF
Harvard John A. Paulson School of Engineering and Applied Sciences TinyMLedu: The Tiny Machine Learning Open Education Initiative Brian Plancher, Vijay Janapa Reddi ACM Technical Symposium on Computer Science Education (SIGCSE) March 2022 DOI

Explore Additional TinyML Papers from Others

https://github.com/gigwegbe/tinyml-papers-and-projects