Today’s post in Google AI Blog “Controlling Neural Networks with Rule Representations” introduces a novel approach that does not require machine learning models retraining to adapt the rule strength. In real-world domains where incorporating rules is critical – such as physics and healthcare – they demonstrate the effectiveness of Controllable Rule Representations in teaching rules for deep learning. Link
