Neural networks consisting of DNA
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866909996172705792 |
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| author | Vrugt, Michael te |
| author_facet | Vrugt, Michael te |
| contents | Neural networks based on soft and biological matter constitute an interesting potential alternative to traditional implementations based on electric circuits. DNA is a particularly promising system in this context due its natural ability to store information. In recent years, researchers have started to construct neural networks that are based on DNA. In this chapter, I provide a very basic introduction to the concept of DNA neural networks, aiming at an audience that is not familiar with biochemistry. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_03235 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Neural networks consisting of DNA Vrugt, Michael te Biological Physics Soft Condensed Matter Artificial Intelligence Neural and Evolutionary Computing Biomolecules Molecular Networks Neural networks based on soft and biological matter constitute an interesting potential alternative to traditional implementations based on electric circuits. DNA is a particularly promising system in this context due its natural ability to store information. In recent years, researchers have started to construct neural networks that are based on DNA. In this chapter, I provide a very basic introduction to the concept of DNA neural networks, aiming at an audience that is not familiar with biochemistry. |
| title | Neural networks consisting of DNA |
| topic | Biological Physics Soft Condensed Matter Artificial Intelligence Neural and Evolutionary Computing Biomolecules Molecular Networks |
| url | https://arxiv.org/abs/2501.03235 |