"Self-Taught Machine Learning Models Identify Molecular Properties"
Biomedical engineers at Duke University have developed a new method called yoked learning to improve the effectiveness of machine learning models in identifying molecular properties for potential therapeutics or materials. By pairing a teaching machine learning model with a student model, the technique, known as YoDeL, outperformed or matched the accuracy of active deep learning systems while being much faster. This approach could enhance the efficacy of deep neural networks and help discover new drugs and drug delivery solutions.
