2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2024
BiomedBench: A benchmark suite of TinyML biomedical applications for low-power wearables
Dimitrios Samakovlis, Stefano Albini, Rubén Rodríguez Álvarez +4
The design of low-power wearables for the biomedical domain has received a lot of attention in recent decades, as technological advances in chip manufacturing have allowed real-tim…
cs.AR2024★ 2 cited
X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators
Simone Machetti, Pasquale Davide Schiavone, Thomas Christoph Müller +2
The field of edge computing has witnessed remarkable growth owing to the increasing demand for real-time processing of data in applications. However, challenges persist due to limi…