Nam Le

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Nam Le

Nam Le

@namlehai

AI Researcher & Founder https://t.co/tVFOWWNutG | Machine Intelligence, LLMs for Biology, Quantitative Finance | UVM Postdoc

USA Katılım Mayıs 2012
172 Takip Edilen239 Takipçiler
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Nam Le
Nam Le@namlehai·
Spontaneous emergence of reproduction at the group level, demonstrated by my ALife simulation. Selection is implicit (no external fitness func). The ring-collective seems to be a new level of individuality. Is that a critical moment in ‘artificial’ major transition? #ETI #ALIFE
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John Templeton Foundation
John Templeton Foundation@templeton_fdn·
AI could save us—or replace us. Whether you believe we should hit the accelerator or decelerator, whose hand should be on the wheel? We're looking for researchers, scholars, practitioners, and creators to drive novel insights into the future as part of our new venture focused on intelligence. Learn more: bit.ly/42dvOqw
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Michael Levin
Michael Levin@drmichaellevin·
More #preprints: Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control arxiv.org/abs/2505.02766 @namlehai @DrPatrickE @YanboZhang3 @DoctorJosh ZapGPT: Free-form Language Prompting for Simulated Cellular Control arxiv.org/abs/2509.10660 @namlehai @DrPatrickE @YanboZhang3 @DoctorJosh Advancing the Scientific Method with Large Language Models: From Hypothesis to Discovery arxiv.org/abs/2505.16477 @YanboZhang3 @hectorzenil and many others!
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Josh Bongard
Josh Bongard@DoctorJosh·
The final lecture of evolutionary robotics course: Self-replicating Xenobots. So long, and thanks for all the fish! youtu.be/_V9XFNvw3a4
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Massimo
Massimo@Rainmaker1973·
Scientists have created one of the most detailed 3D reconstructions of a human cell (eukaryotic cell) ever produced. This groundbreaking model, often termed a "Cellular Landscape Cross-Section Through a Eukaryotic Cell," combines data from X-ray tomography, nuclear magnetic resonance (NMR), and cryo-electron microscopy to map molecular structures in extreme detail.
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Josh Bongard
Josh Bongard@DoctorJosh·
Lecture 24 of evolutionary robotics course: Differentiable robots. youtu.be/B56x986YQDw
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Tom Froese, Embodied Cognitive Science Unit (ECSU)
Bioelectricity as a communication interface between and across scales of agency- a crucial insight from this morning’s ECogS 2025 keynote by @drmichaellevin . I’ve also started to see global scalp potential akin to a suitable medium for geometric projection of mental activity.
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Nam Le
Nam Le@namlehai·
One possible next step I’m interested in is how to use AI/natural language to steer/guide cellular pattern formation.
Michael Levin@drmichaellevin

Final version is out: @SantoshManicka cell.com/cell-reports-p… "Field-mediated bioelectric basis of morphogenetic prepatterning" #morphogenesis #bioelectricity #fields "Intercellular bioelectric communication plays an important role in morphogenesis, often modeled using localized non-neural networks generating spatial patterns of membrane potential (Vmem). Here, we find that the electrostatic field contributes to this process, via a synergetics (à la Haken)-based mechanism, by enhancing the complexity of Vmem patterns through a coarse-grained projection. We leverage this property of the field to automatically optimize transient signals from a symmetry-breaking organizer region in the boundary of the tissue to mold Vmem patterns in the bulk. Two models optimized in this way exhibit contrasting “mosaic” and “stigmergic” pattern-coding strategies, depending on their field sensitivity strengths. Interestingly, the stigmergic model recapitulates the qualitative developmental sequence of the bioelectric craniofacial prepattern observed in frog embryos. These results highlight the potential of the electric field both as a facilitator of collective patterning and as a macroscale interventional target for applications in regenerative medicine and bioengineering."

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Nam Le
Nam Le@namlehai·
Presented at @GeccoConf in Malaga. ZapGPT - how natural language can be a control interface for guiding emergent behavior in simulated agents (cells). This work’s done in Prof. @DoctorJosh’s lab and in collaboration with Prof. @drmichaellevin’s lab. Video demonstration below.
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Nam Le
Nam Le@namlehai·
We’ve used 2 LLM. One (called P2I) transform the input prompt into interventions. The other generates description of system dynamics in human language. The similarity score between the input prompt and the output response is used to optimize the P2I toward the desired behavior.
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Nam Le
Nam Le@namlehai·
Decoupling Representation and Learning in Genetic Programming, at #GPTP2025 workshop in Michigan . Work’s done from Prof @DoctorJosh’s lab. LaSER can improve generalization, allow for a natural integration with ML regression techniques, and modularity. Arxiv will appear soon.
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Nam Le
Nam Le@namlehai·
presenting my research at #NERCCS2025 in Binghamton, about: the synergy between natural selection and self-oganization…in evolving neuronal Boids, and how that interplay can create a transition in individuality - an emergence of the group reproducing itself..as a new organism.
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Hiroki Sayama
Hiroki Sayama@HirokiSayama·
Nam Le presents swarm models that show emergence of higher-order evolutionary entities #NERCCS2025
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Nam Le
Nam Le@namlehai·
My work on evolving collective reproduction of boids has been accepted for presentation at #NERCCS2025 at @BinghamtonCoCo! Looking forward to discussing group selection, evolutionary transitions, and self-organization. See you there!
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Nam Le
Nam Le@namlehai·
Check in here with professor @DoctorJosh and my new lab-mates :-)
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Nam Le
Nam Le@namlehai·
My talk Mike Levin’s lab on Evolutionary Transitions in an artificial life system. I proposed that self-organization and natural selection can be combined to demonstrate and explain an ETI, without presupposing to the existence of group selection. youtu.be/Q-yZ-IeZywg?si…
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Josh Bongard
Josh Bongard@DoctorJosh·
Looking forward to delivering a #CVPR24 keynote, and getting to know this community better!
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