Data-driven challenges in AI: scale, information selection, and safety

Speaker: Anna Choromanska, Assistant Professor, “Department of Electrical and Computer Engineering, NYU Tandon School of Engineering The talk will focus on data-driven challenges in AI. First, the talk will focus on scaling algorithms to massive data sets. The multi-class and multi-label classification problems will be addressed, where the number of classes (k) is extremely large, with the goal of obtaining train and test time complexity logarithmic in the number of classes. A reduction of these problems t