1 citations · 1 across the 2 of their papers we have counts for
4 papers
Toward Controlling Biology with Language:Offline Learning of Prompt-Conditioned Interventions for Cells, Organoids, and Biobots
Nam H. Le, Douglas Blackiston, Michael Levin +1
Artificial intelligence increasingly serves as a natural-language interface to complex technical systems, letting people accomplish sophisticated tasks by describing what they want…
ZapGPT: Free-form Language Prompting for Simulated Cellular Control
Nam H. Le, Patrick Erickson, Yanbo Zhang +2
Human language is one of the most expressive tools for conveying intent, yet most artificial or biological systems lack mechanisms to interpret or respond meaningfully to it. Bridg…
Decoupling Representation and Learning in Genetic Programming: the LaSER Approach
Nam H. Le, Josh Bongard
Genetic Programming (GP) has traditionally entangled the evolution of symbolic representations with their performance-based evaluation, often relying solely on raw fitness scores.…
Giving Simulated Cells a Voice: Evolving Prompt-to-Intervention Models for Cellular Control
Nam H. Le, Patrick Erikson, Yanbo Zhang +2
Guiding biological systems toward desired states, such as morphogenetic outcomes, remains a fundamental challenge with far-reaching implications for medicine and synthetic biology.…