ABSTRACT
Data-driven analysis is revolutionizing a wide range of research and business areas, including computational medicine, material informatics, and computational design of medical system development. Its potential is rapidly expanding and bringing fruitful results to our life. Deep neural networks (DNNs) and their learning technique, deep learning (DL), are presently becoming more common, but are even not perfect. Some problems are suitable for DNN solutions, while others are not. It is important to select and apply the appropriate computation algorithm for each process. This session will cover computational technologies using legacy and advanced methods, including DNNs.
