Today's job market prospects can be brutal, especially as the latest AI-driven tools and people analytics are reshaping the talent lifecycle. When an algorithm has the power to decide who deserves an ...

Abstract: In this work, we present a novel characterization of approximate Nash equilibria in a class of convex games over the simplex. To this end, we regularize the utility functions using a Shannon ...

Abstract: Genetic algorithms (GA) are search engines that either optimize or reduce predefined functions. The technique of selection is an important phase in GA. This research study aims to evaluate, ...

This module provides a Python implementation of FLINT, a fast algorithm for estimating 1D/2D NMR relaxation distributions. The algorithm is based on the work of Paul Teal and C. Eccles, who developed ...