An algorithm that takes into account details such as a unique college major may improve diverse candidate representation, researchers said. Skip to main content CONTINUE TO SITE ...

We found significant differences in the candidates selected by the exploratory versus static algorithms. The UCB model more than doubled the share of selected applicants who are Black or Hispanic ...

Algorithmic hiring has been on the rise in recent years. Google used an algorithm to staff up quickly, employing an elaborate survey to zone in on candidates who will fit into the company’s ...

Model-Based Design enables the efficient design of the BMS algorithms, providing a means to test them in simulation for different scenarios, such as driving habits, environmental conditions, and ...

Algorithms in such searches begin by generating other candidate algorithms for solving a problem, after which the best-performing candidates are combined with each other and tested again.