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Future of analog in the VLSI environment
Abstract
It is argued analog circuits will remain irreplaceable for the implementation of the interface circuitry between digital processing and the external world. Most of their characteristics can be improved with scaled-down processes. Analog circuits will also compete with digital and will remain advantageous for low precision signal processing. Since little precision is required to carry out many cognitive tasks, analog VLSI (very-large-scale integration) will dominate in the implementation of many types of neural networks.>
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Citations
Cited by
Analog Versus Digital: Extrapolating from Electronics to Neurobiology
Sarpeshkar, R. (1998) · Neural Computation · doi:10.1162/089976698300017052 · Cited by 496
Device mismatch and tradeoffs in the design of analog circuits
Kinget, P. R. (2005) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2005.848021 · Cited by 478
Mixed-Signal Computing for Deep Neural Network Inference
Murmann, B. (2021) · IEEE Transactions on Very Large Scale Integration (VLSI) Systems · doi:10.1109/tvlsi.2020.3020286 · Cited by 160
Metadata
- Authors
- Vittoz, E. A.
- Venue
- IEEE International Symposium on Circuits and Systems
- Publisher
- IEEE
- Published
- 2002-12-04
- Pages
- 1372-1375
- ISSN
- 0271-4302 (ISSN-L)
- OpenAlex
- W2121201427
- Cited by
- 199
- References
- 0
- FWCI
- 21.95
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Future of analog in the VLSI environment. https://app.cochat.ai/papers/10.1109/iscas.1990.112386
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- Vittoz, E. A. (2002). Future of analog in the VLSI environment. IEEE International Symposium on Circuits and Systems. https://doi.org/10.1109/iscas.1990.112386
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
