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Everything reminds me of #TCTeAC When are we doing this again?
New preprint with a brilliant team of quantum chemists from @tuwien.at (A. Adel, J. Szmitek, R. Wanzenböck, G. Madsen): Guided adaptive diffusion: An evolutionary framework for multi-modal atomistic structure prediction doi.org/10.26434/che... HADES 4 materials discovery!
Excited to announce our new review on "Neural cellular automata: Applications to biology and beyond classical AI" is out in Physics of Life Reviews doi.org/10.1016/j.pl... ... work with @drmichaellevin.bsky.social and Leo Pio-Lopez
2mo
11mo
6mo
doi.org
Ben Hartl
Ben Hartl
Ben Hartl
Call for papers for 'Artificial Life for Science and Engineering' at ALife 26. We seek work applying ALife concepts and tools to model real-world systems and engineer solutions — and assist scientific discovery through open-ended and curiosity-driven search. Call info: alifeforscience.github.io
What are the preferences of novel in silico and in vivo agents that aren't directly engineered toward a specific set of behaviors? An example, from the world of Lenia (en.wikipedia.org/wiki/Lenia) - here's our #preprint on agnosiophobia (avoidance of the unknown): arxiv.org/abs/2605.30708
1/📢 Announcing our next ERA Journal Club session 📍June 27, 18:00 BST on Discord: discord.gg/m3qvuXgkZ7 This work bridges generative #AI and evolutionary biology by integrating diffusion models into evolutionary optimization frameworks like HADES. 🤖 advanced.onlinelibrary.wiley.com/doi/10.1002/...
3mo
20d
3d
Video
Video
Final version is out: authors.elsevier.com/c/1mEoa5bD-s... "Neural cellular automata: Applications to biology and beyond classical AI" @bhartl.bsky.social Léo Pio-Lopez
Elias Najarro
Emerging Researchers in Artificial Life
6mo
Official version is out - aging as loss of goal-directedness: advanced.onlinelibrary.wiley.com/doi/epdf/10.... @bhartl.bsky.social Léo Pio-Lopez
New preprint: arxiv.org/abs/2601.14096 @chrisfields38.bsky.social @bhartl.bsky.social Leo Pio-Lopez "Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems" 🧪
8mo
New #preprint - @bhartl.bsky.social , Léo Pio-Lopez arxiv.org/abs/2509.11131 "Neural cellular automata: applications to biology and beyond classical AI"
New #preprint: arxiv.org/abs/2604.01932 "BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor control" @bhartl.bsky.social and Leo Pio-Lopez:
5mo
authors.elsevier.com
9mo
Aging as a Loss of Goal‐Directedness: An Evolutionary Simulation and Analysis Unifying Regeneration with Anatomical Rejuvenation
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advanced.onlinelibrary.wiley.com
2mo
The emerging field of diverse intelligence seeks an integrated view of problem-solving in agents of very different provenance, composition, and substrates. From subcellular chemical networks to swarms...
arxiv.org
Remapping and navigation of an embedding space via error minimization: a fundamental organizational principle of cognition in natural and artificial systems
Most of the Neural Cellular Automata (NCAs) defined in the literature have a common theme: they are based on regular grids with a Moore neighborhood (one-hop neighbour). They do not take into account ...
BraiNCA: brain-inspired neural cellular automata and applications to morphogenesis and motor control
arxiv.org
Neural cellular automata: applications to biology and beyond classical AI
Neural Cellular Automata (NCA) represent a powerful framework for modeling biological self-organization, extending classical rule-based systems with trainable, differentiable (or evolvable) update rul...
arxiv.org
Mike Levin
Mike Levin
Mike Levin
Mike Levin
Mike Levin
Mike Levin