287 citations · 314 across the 6 of their papers we have counts for
6 papers
Perspectives for self-driving labs in synthetic biology
Hector Garcia Martin, Tijana Radivojevic, Jeremy Zucker +19
Self-driving labs (SDLs) combine fully automated experiments with artificial intelligence (AI) that decides the next set of experiments. Taken to their ultimate expression, SDLs co…
Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health
Ryan T. Scott, Erik L. Antonsen, Lauren M. Sanders +53
Human space exploration beyond low Earth orbit will involve missions of significant distance and duration. To effectively mitigate myriad space health hazards, paradigm shifts in d…
Learning from learning machines: a new generation of AI technology to meet the needs of science
Luca Pion-Tonachini, Kristofer Bouchard, Hector Garcia Martin +33
We outline emerging opportunities and challenges to enhance the utility of AI for scientific discovery. The distinct goals of AI for industry versus the goals of AI for science cre…
ART: A machine learning Automated Recommendation Tool for synthetic biology
Tijana Radivojević, Zak Costello, Kenneth Workman +1
Biology has changed radically in the last two decades, transitioning from a descriptive science into a design science. Synthetic biology allows us to bioengineer cells to synthesiz…
How to Hallucinate Functional Proteins
Zak Costello, Hector Garcia Martin
Here we present a novel approach to protein design and phenotypic inference using a generative model for protein sequences. BioSeqVAE, a variational autoencoder variant, can halluc…
Linearity and Scaling of a Statistical Model for the Species Abundance Distribution
Hector Garcia Martin, Nigel Goldenfeld
We derive a linear recursion relation for the species abundance distribution in a statistical model of ecology and demonstrate the existence of a scaling solution.