Continual learning
Investigating how algorithms can absorb changing information while retaining useful knowledge and reducing the need to retrain from zero.
Kyberne
How can intelligence become more continuous, efficient, and autonomous? Kyberne turns foundational questions into observable, testable experiments, exploring learning mechanisms beyond scale.
EXPERIENCES & DIRECTIONS
Investigating how algorithms can absorb changing information while retaining useful knowledge and reducing the need to retrain from zero.
Exploring dynamic memory structures that retain context, revise internal state, and evolve with experience.
Studying sparse, stateful computation that responds to meaningful change, and testing its value through experiments.
The research website shares selected directions, prototypes, and experiments. Results should be read alongside their experimental conditions and published records.
FORCE CREAT / ECOSYSTEM
MAKE ROOM FOR THE NEXT IDEA
A product to try, research to discuss, or a question worth exploring together. We’d love to hear from you.