An Ultra-low-power 28nm CMOS Dual-die ASIC Platform for Smart Hearables. - Yu Pu; Danny Butterfield; Jorge Garcia; Jing Xie; Mark Lin; Rohit Sauhta; Rick Farley; Steve Shellhammer; Moses Derkalousdian; Adam Newham; Chunlei Shi; Ravi Shenoy; et al. (BioCAS, 2018)

TinyML4D: Scaling Embedded Machine Learning Education in the Developing World. - Brian Plancher; Sebastian Büttrich; Jeremy Ellis; Neena Goveas; Laila D. Kazimierski; Jesús Alfonso López Sotelo; Milan Lukic; Diego Mendez 001; Rosdiadee Nordin; Andrés Oliva Trevisan; Massimo Pavan; Manuel Roveri; et al. (AAAI Spring Symposia, 2024)

TinyML - From Efficient Edge Inference to On-Device Intelligence. - Theocharis Theocharides; Marian Verhelst; Vijay Janapa Reddy; Evgeni Gousev (IEEE Des. Test, 2025)