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:
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/...
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
New #preprint - @bhartl.bsky.social , Léo Pio-Lopez
arxiv.org/abs/2509.11131
"Neural cellular automata: applications to biology and beyond classical AI"
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
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!
Official version is out - aging as loss of goal-directedness:
advanced.onlinelibrary.wiley.com/doi/epdf/10....
@bhartl.bsky.social
Léo Pio-Lopez
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
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"
🧪
Video
Video
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...
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 ...
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advanced.onlinelibrary.wiley.com
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...
I'm not sure about "fast=night science". To me, the fast part describes fitting/learning by heart of things that need to go quickly from the hand. Deep, intuitive insights which you can't put your finger on just yet (creative night science) is more subtle: it's models forming via distributed insight
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
