Abstract | ||
---|---|---|
The emergence of post-silicon nano-devices and the coming trillion-sensor era driven by the Internet of Things have led to a search for alternative computational paradigms that can efficiently derive useful information from abundant data while enable efficient hardware implementations under significant device variations. Such computational paradigms may emerge as we explore the information process... |
Year | DOI | Venue |
---|---|---|
2018 | 10.1109/JETCAS.2018.2842035 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | Field | DocType |
Delays,Circuits and systems,Nanobioscience,Olfactory,Reliability,Performance evaluation,Neurons | Content-addressable memory,Information processing,Fano factor,Pattern recognition,Computer science,Sensor array,Real-time computing,Feature extraction,Memory model,Parametric statistics,Artificial intelligence,Classifier (linguistics) | Journal |
Volume | Issue | ISSN |
8 | 3 | 2156-3357 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ping-Chen Huang | 1 | 14 | 2.76 |
Jan M. Rabaey | 2 | 4796 | 1049.96 |