Innovative Research in Morphogenesis
We specialize in computational models of biological morphogenesis, integrating advanced neural network frameworks with adaptive growth algorithms for dynamic structural adjustments during training, enhancing the capabilities of AI systems.
Our Research Approach
Transforming Neural Networks
Our work focuses on developing morphogenesis frameworks that simulate biological processes, enabling neural networks to evolve and adapt through innovative algorithms, enhancing their learning and performance in complex environments.
Morphogenesis Models
Developing computational models for biological morphogenesis and neural networks.
Adaptive Growth Algorithms
Integrating morphogenesis framework with GPT architecture for dynamic model adjustments.
Neural Network Triggers
Designing morphological triggers to initiate growth in neural networks.