Name
Abstract | ||
|---|---|---|
Brain-inspired hyperdimensional computing (HDC) is an emerging computational paradigm that mimics brain cognition and leverages hyperdimensional vectors with fully distributed holographic representation and (pseudo)randomness. Compared to other machine learning (ML) methods such as deep neural networks (DNNs), HDC offers several advantages including high energy efficiency, low latency, and one-sho... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DAC18074.2021.9586169 | 2021 58th ACM/IEEE Design Automation Conference (DAC) |
Keywords | DocType | ISSN |
Computational modeling,Perturbation methods,MIMICs,Manuals,Fuzzing,Reliability theory,Brain modeling | Conference | 0738-100X |
ISBN | Citations | PageRank |
978-1-6654-3274-0 | 0 | 0.34 |
References | Authors | |
0 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dongning Ma | 1 | 0 | 4.39 |
| Jianmin Guo | 2 | 28 | 2.16 |
| Yu Jiang | 3 | 346 | 56.49 |
| Xun Jiao | 4 | 7 | 6.32 |