World Models

kausable Raises €12M to Build AI That Adapts Without Retraining

Most AI systems become less reliable when the world stops resembling their training data. A machine-learning model built for one factory, market or energy network may perform well until equipment changes, demand shifts or a previously unseen event occurs. Adapting it often means collecting more data, retraining the model and validating it again. Heidelberg-based kausable […]