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The Denario project: Deep knowledge AI agents for scientific discovery

Fuente: arXiv

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Bibliographic Details
Main Authors:	Villaescusa-Navarro, Francisco, Bolliet, Boris, Villanueva-Domingo, Pablo, Bayer, Adrian E., Acquah, Aidan, Amancharla, Chetana, Barzilay-Siegal, Almog, Bermejo, Pablo, Bilodeau, Camille, Ramírez, Pablo Cárdenas, Cranmer, Miles, França, Urbano L., Hahn, ChangHoon, Jiang, Yan-Fei, Jimenez, Raul, Lee, Jun-Young, Lerario, Antonio, Mamun, Osman, Meier, Thomas, Ojha, Anupam A., Protopapas, Pavlos, Roy, Shimanto, Spergel, David N., Tarancón-Álvarez, Pedro, Tiwari, Ujjwal, Viel, Matteo, Wadekar, Digvijay, Wang, Chi, Wang, Bonny Y., Xu, Licong, Yovel, Yossi, Yue, Shuwen, Zhou, Wen-Han, Zhu, Qiyao, Zou, Jiajun, Zubeldia, Íñigo
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computation and Language Machine Learning Multiagent Systems
Online Access:	Acceder al recurso
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