In a letter written to Ranjana Desai, chairperson, 8th Pay Commission, KV Ramesh, secretary general, IRTSA, wrote that ...

Every regulatory framework must choose a primary unit of risk -- model, use case, or impact produced -- to determine the starting point of regulatory oversight.

Abstract: Solving constrained multi-objective optimization problems (CMOPs) is a challenging task due to the presence of multiple conflicting objectives and intricate constraints. In order to better ...

Op-ed: New Jersey’s new law effectively banning e-bikes misses the mark on the challenges of electric micromobility. It’s ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

The Carnegie Foundation for the Advancement of Teaching and the American Council on Education debut a new classification system focused on student success. As widespread public skepticism about the ...