Matthew Stewart

According to our database, Matthew Stewart authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Materiality and Risk in the Age of Pervasive AI Sensors.

Matthew Stewart, Emanuel Moss, Pete Warden, Brian Plancher, Susan Kennedy, Mona Sloane, Vijay Janapa Reddi

CoRR, 2024

2023

Machine Learning Sensors.

Pete Warden, Matthew Stewart, Brian Plancher, Sachin Katti, Vijay Janapa Reddi

Commun. ACM, November, 2023

Is TinyML Sustainable?

Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi

Commun. ACM, November, 2023

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance.

Víctor Mayoral Vilches, Jason Jabbour, Yu-Shun Hsiao, Zishen Wan, Alejandra Martínez-Fariña, Martiño Crespo-Álvarez, Matthew Stewart, Juan Manuel Reina-Muñoz, Prateek Nagras, Gaurav Vikhe, Mohammad Bakhshalipour, Martin Pinzger, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

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

CoRR, 2023

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers.

Shvetank Prakash, Matthew Stewart, Colby R. Banbury, Mark Mazumder, Pete Warden, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

Decision Fusion in Automated Sleep Apnea Classification Using Multple Polysomnography Sensors and Convolutional Neural Networks.

Matthew Stewart, Caitlin Higginson, Julien Larivière-Chartier, Rebecca Robillard, James Green, Rafik Goubran, Frank Knoefel

Proceedings of the IEEE Sensors Applications Symposium, 2023

2022

Machine Learning Sensors.

Pete Warden, Matthew Stewart, Brian Plancher, Colby R. Banbury, Shvetank Prakash, Emma Chen, Zain Asgar, Sachin Katti, Vijay Janapa Reddi

CoRR, 2022

2021

Widening Access to Applied Machine Learning with TinyML.

Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby R. 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

CoRR, 2021

The evolving ecosystem of COVID-19 contact tracing applications.

Benjamin Levy, Matthew Stewart

CoRR, 2021