Towards Robust, Adaptive, and Data-Efficient Machine Learning

How can AI learn more efficiently and reliably? This exhibit explores new methods that help machine learning models train on smaller datasets, continue learning new tasks without forgetting old ones, and become more robust to errors and attacks. Through interactive visuals and demonstrations, visitors will see how smarter training strategies can make future AI systems faster, more adaptable, and more practical.