Zobrazeno 1 - 10
of 6 958
pro vyhledávání: '"A, Guillém"'
Cognitive Architectures are the forefront of our research into developing an artificial cognition. However, they approach the problem from a separated memory and program model of computation. This model of computation poses a fundamental problem: the
Externí odkaz:
http://arxiv.org/abs/2410.07928
Autor:
Tyagi, Himanshu, P., Manoj, Narang, Mayank, Megeath, S T., Rocha, Will Robson M., Brunken, Nashanty, Rubinstein, Adam E., Gutermuth, Robert A., Evans, Neal J., van Dishoeck, Ewine, Federman, Sam, Watson, Dan M., Neufeld, David A., Anglada, Guillem, Beuther, Henrik, Garatti, Alessio Caratti o, Looney, Leslie W., Nazari, Pooneh, Osorio, Mayra, Stanke, Thomas, Yang, Yao-Lun, Bourke, Tyler L., Fischer, William J., Furlan, Elise, Green, Joel D., Habel, Nolan, Klaassen, Pamela, Karnath, Nicole, Linz, Hendrik, Muzzerolle, James, Tobin, John J., Atnagulov, Prabhani, Rahatgaonkar, Rohan, Sheehan, Patrick D., Slavicinska, Katerina, Stutz, Amelia M., Tychoniec, Łukasz, Wolk, Scott J.
The composition of protoplanetary disks, and hence the initial conditions of planet formation, may be strongly influenced by the infall and thermal processing of material during the protostellar phase. Composition of dust and ice in protostellar enve
Externí odkaz:
http://arxiv.org/abs/2410.06697
Autor:
Pichat, Michael, Campoli, Enola, Pogrund, William, Wilson, Jourdan, Veillet-Guillem, Michael, Melkozerov, Anton, Pichat, Paloma, Gasparian, Armanouche, Demarchi, Samuel, Poumay, Judicael
Neuropsychology of artificial intelligence focuses on synthetic neural cog nition as a new type of study object within cognitive psychology. With the goal of making artificial neural networks of language models more explainable, this approach involve
Externí odkaz:
http://arxiv.org/abs/2410.11868
Autor:
Perarnau, Guillem, Serra, Oriol
The Lonely Runner Conjecture originated in Diophantine approximation will turn 60 in 2028. Even if the conjecture is still widely open, the flow of partial results, innovative tools and connections to different problems and applications has been stea
Externí odkaz:
http://arxiv.org/abs/2409.20160
Knowledge discovery is key to understand and interpret a dataset, as well as to find the underlying relationships between its components. Unsupervised Cognition is a novel unsupervised learning algorithm that focus on modelling the learned data. This
Externí odkaz:
http://arxiv.org/abs/2409.20064
The Artificial Intelligence field seldom address the development of a fundamental building piece: a framework, methodology or algorithm to automatically build hierarchies of abstractions. This is a key requirement in order to build intelligent behavi
Externí odkaz:
http://arxiv.org/abs/2409.18633
Unsupervised learning methods have a soft inspiration in cognition models. To this day, the most successful unsupervised learning methods revolve around clustering samples in a mathematical space. In this paper we propose a state-of-the-art primitive
Externí odkaz:
http://arxiv.org/abs/2409.18624
All-atom molecular simulations offer detailed insights into macromolecular phenomena, but their substantial computational cost hinders the exploration of complex biological processes. We introduce Advanced Machine-learning Atomic Representation Omni-
Externí odkaz:
http://arxiv.org/abs/2409.17852
Autor:
Domènech, Guillem, Tränkle, Jan
We study the Primordial Black Hole (PBH) reheating scenario, where PBHs originate in a general cosmological background. In this scenario, ultralight PBHs with masses $M\lesssim 10^8$g temporarily dominate the Universe and reheat it via Hawking radiat
Externí odkaz:
http://arxiv.org/abs/2409.12125
Publikováno v:
European Wireless 2024
Cell-free massive multiple-input multiple-output (CF-mMIMO) is a breakthrough technology for beyond-5G systems, designed to significantly boost the energy and spectral efficiencies of future mobile networks while ensuring a consistent quality of serv
Externí odkaz:
http://arxiv.org/abs/2409.11871