It is a significant and challenging task to detect the informative features to carry out explainable analysis and build an interpretable AI system for high dimensional data, especially for those with ...

Traditional approaches to autonomous vehicles (AVs) rely on using millions of miles of driving data in conjunction with even more miles of simulated data as inputs to supervised machine learning ...

Understand the principles of efficient algorithms for dealing with large scale data sets and be able to select appropriate algorithms for specific problems. Understand and be able to apply the main ...

Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.