Self-Assembly Gets Automated in Reverse of 'Game of Life'
4 days ago
- #regenerative systems
- #neural cellular automata
- #self-organization
- Alexander Mordvintsev developed neural cellular automata (NCAs) that reverse the traditional approach of cellular automata by starting with a desired pattern and deriving the rules to produce it.
- NCAs demonstrate regenerative capabilities, such as virtual butterflies regrowing wings, which has potential applications in biology and medicine.
- The system uses neural networks to define the rules of cellular automata, allowing for complex behaviors and self-organization without predefined instructions.
- NCAs can be trained to regenerate patterns after damage, showing robustness and redundancy, similar to biological systems.
- Researchers are exploring NCAs for distributed computing, robotics, and problem-solving, offering energy-efficient alternatives to traditional computing architectures.
- NCAs have been used to solve abstract reasoning problems and perform mathematical operations, demonstrating their potential in artificial intelligence.
- The crossover between biology, computing, and robotics in NCAs revives early computing traditions that drew inspiration from living systems.