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A deep-learning model of prescient ideas demonstrates that they emerge from the periphery
Where do prescient ideas—those that initially challenge conventional assumptions but later achieve widespread acceptance—come from? Although their outcomes in the form of technical innovation are readily observed, the underlying ideas that eventually change the world are often obscured. Here, we dev...
Autores principales: | Vicinanza, Paul, Goldberg, Amir, Srivastava, Sameer B |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832965/ https://www.ncbi.nlm.nih.gov/pubmed/36712938 http://dx.doi.org/10.1093/pnasnexus/pgac275 |
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