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Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
May 23, 2022
Emergence and algorithmic information dynamics of systems and observers
Felipe S Abrahão, Hector Zenil
Entropy (Basel, Switzerland)
|
July 2, 2021
Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks
Felipe S Abrahão, Klaus Wehmuth, Hector Zenil, et al.
Nature Communications
|
June 3, 2026
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity
Alberto Hernández-Espinosa, Luan Ozelim, Felipe S Abrahão, et al.
PNAS Nexus
|
April 16, 2026
Neurodivergent influenceability in agentic AI as a contingent solution to the AI alignment problem
Alberto Hernández-Espinosa, Felipe S Abrahão, Olaf Witkowski, et al.
NPJ Systems Biology and Applications
|
August 7, 2024
On the salient limitations of the methods of assembly theory and their classification of molecular biosignatures
Abicumaran Uthamacumaran, Felipe S Abrahão, Narsis A Kiani, et al.
Frontiers in Computational Neuroscience
|
June 15, 2026
Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis
Eduardo Y Sakabe, Felipe S Abrahão, Alexandre Simões, et al.
Frontiers in Artificial Intelligence
|
February 27, 2026
The future of fundamental science led by generative closed-loop artificial intelligence
Hector Zenil, Jesper Tegnér, Felipe S Abrahão, et al.
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Search research articles
Search
Showing results (1-10 of 7) with videos related to
Sort By:
Page
of 1
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|
May 23, 2022
Emergence and algorithmic information dynamics of systems and observers
Felipe S Abrahão, Hector Zenil
Entropy (Basel, Switzerland)
|
July 2, 2021
Algorithmic Information Distortions in Node-Aligned and Node-Unaligned Multidimensional Networks
Felipe S Abrahão, Klaus Wehmuth, Hector Zenil, et al.
Nature Communications
|
June 3, 2026
SuperARC: a test for artificial superintelligence based on compressed modelling, recursive prediction and problem complexity
Alberto Hernández-Espinosa, Luan Ozelim, Felipe S Abrahão, et al.
PNAS Nexus
|
April 16, 2026
Neurodivergent influenceability in agentic AI as a contingent solution to the AI alignment problem
Alberto Hernández-Espinosa, Felipe S Abrahão, Olaf Witkowski, et al.
NPJ Systems Biology and Applications
|
August 7, 2024
On the salient limitations of the methods of assembly theory and their classification of molecular biosignatures
Abicumaran Uthamacumaran, Felipe S Abrahão, Narsis A Kiani, et al.
Frontiers in Computational Neuroscience
|
June 15, 2026
Binarized neural networks converge toward algorithmic simplicity: empirical support for the learning-as-compression hypothesis
Eduardo Y Sakabe, Felipe S Abrahão, Alexandre Simões, et al.
Frontiers in Artificial Intelligence
|
February 27, 2026
The future of fundamental science led by generative closed-loop artificial intelligence
Hector Zenil, Jesper Tegnér, Felipe S Abrahão, et al.
Page
of 1