7 citations · 16 across the 15 of their papers we have counts for
4 papers · 1 filter
Bio-inspired AI: Integrating Biological Complexity into Artificial Intelligence
Nima Dehghani, Michael Levin
The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of Talos to Aristotelian logic and…
Heuristically Adaptive Diffusion-Model Evolutionary Strategy
Benedikt Hartl, Yanbo Zhang, Hananel Hazan +1
Diffusion Models represent a significant advancement in generative modeling, employing a dual-phase process that first degrades domain-specific information via Gaussian noise and r…
Diffusion Models are Evolutionary Algorithms
Yanbo Zhang, Benedikt Hartl, Hananel Hazan +1
In a convergence of machine learning and biology, we reveal that diffusion models are evolutionary algorithms. By considering evolution as a denoising process and reversed evolutio…
Neuroevolution of Decentralized Decision-Making in N-Bead Swimmers Leads to Scalable and Robust Collective Locomotion
Benedikt Hartl, Michael Levin, Andreas Zöttl
Many microorganisms swim by performing larger non-reciprocal shape deformations that are initiated locally by molecular motors. However, it remains unclear how decentralized shape…