Chemical Neural Networks and Semantic Information Investigated Through Synthetic Cells
Communications in Computer and Information Science, ISSN: 1865-0937, Vol: 1780 CCIS, Page: 27-39
2023
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Conference Paper Description
In a previous contribution we briefly sketched novel topics that lie at the interface between synthetic biology (SB) and artificial intelligence (AI). In particular, we discussed (a) the possibility of engrafting chemical AI-like tools in bottom-up synthetic cell systems, and (b) the investigation of fundamental concepts of information theory – such as the “semantic” information – by means of synthetic cells. Here we intend to report on the progress done by our groups in these fields and shortly devise future steps for theoretical and experimental approaches.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85161440934&origin=inward; http://dx.doi.org/10.1007/978-3-031-31183-3_3; https://link.springer.com/10.1007/978-3-031-31183-3_3; https://dx.doi.org/10.1007/978-3-031-31183-3_3; https://link.springer.com/chapter/10.1007/978-3-031-31183-3_3
Springer Science and Business Media LLC
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