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Qianyang Chen, Mikhail Prokopenko Active matter generates order or patterns through nonequilibrium dynamics. An open research challenge is to determine how efficiently a nonequilibrium self-organising system can convert consumed energy into macroscopic order. We study an information-theoretic quantity that directly addresses this challenge by estimating the entropy reduction induced by a small control-parameter perturbation, relative to the generalised work required for the perturbation. This […]

[youtube https://www.youtube.com/watch?v=tJV-vdbZ388?enablejsapi=1&w=100&h=350] loadYouTubePlayer('yt_video_tJV_vdbZ388_YW@vRaqRFE4wrv5p'); We see consciousness in AI the same way we see faces in clouds, says neuroscientist Anil Seth. He explores the all-too-human tendency to project inner life onto machines that are brilliant mimics, not sentient beings, and gives a definitive answer to the urgent question: Will AI ever gain consciousness? Watch at: www.youtube.com

C. Marchuk, L. Ríos, A. González, S. González, G. Pereira and C. von Lücken, "A Computational Economic Complexity Model for Regional Economic Integration: Analysis of the EU, MERCOSUR, URUPABOL, and the AndeanCommunity," 2025 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), Valparaíso, Chile, 2025, pp. 1-8, doi: 10.1109/CHILECON66915.2025.11476476. Regional Economic Integration is a process by which countries seek mutual […]

Mario Franco & Carlos Gershenson Front. Artif. Intell., Volume 9 - 2026 Nowadays, neural networks act as a synonym for artificial intelligence. Present neural network models, although remarkably powerful, are inefficient both in terms of data and energy. Several alternative forms of neural networks have been proposed to address some of these problems. Specifically, spiking neural networks are suitable for efficient hardware implementations. However, effective learning algorithms for spiking […]

The Summer School in Complexity and Emergence in Economic and Social Systems is inspired by the pioneering approach of the Santa Fe Institute. This program introduces participants to the tools and ideas central to the study of complex adaptive systems. Through a combination of lectures, hands-on coding sessions, and interdisciplinary discussions, participants will explore how emergent phenomena—such as financial crises, innovation diffusion, urban growth, and collective […]