Name
Abstract | ||
|---|---|---|
TinyML: tiny in size, BIG in impact! This paper highlights the current progress, challenges and open research opportunities in the domain of tinyML, benchmarking, and emerging applications for Edge-AI. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DAC18074.2021.9586232 | 2021 58TH ACM/IEEE DESIGN AUTOMATION CONFERENCE (DAC) |
Keywords | DocType | ISSN |
TinyML, Machine Learning, Deep Learning, Benchmarking, Edge-Al | Conference | 0738-100X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Shafique | 1 | 1945 | 157.67 |
| Theo Theocharides | 2 | 7 | 2.75 |
| Vijay Janapa Reddy | 3 | 0 | 0.34 |
| Boris Murmann | 4 | 594 | 82.64 |