Tension: Marketers expect consistent ad performance, but audiences process the same message with decreasing intensity over ...

Tension: Marketers keep optimizing for yesterday’s algorithms while platforms have quietly rewritten the rules of visibility ...

From autonomous cars to video games, reinforcement learning (machine learning through interaction with environments) can have ...

Machine learning systems embed preferences either in training losses or through post-processing of calibrated predictions. Applying information design methods from Strack and Yang (2024), this paper ...

Abstract: Many scheduling problems, especially for automated manufacturing systems, have been addressed with a timed Petri net (TPN) by developing optimal or heuristic algorithms based on it. However, ...

Copyright: © 2025 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. We developed an open-source ...

Optimal Blue CEO Joe Tyrrell has responded to a class action lawsuit alleging mortgage price-fixing, calling the claims baseless and frivolous. The company, along with 26 major lenders, is accused of ...

Abstract: In this article, we propose a novel online learning algorithm based on weighted policy iteration (WPI) for addressing optimal control problems of nonlinear systems. WPI is proposed to deal ...

Nearly all practicing physicians in the U.S. obtained their post-graduate training positions through "the match." Prior to the 1950s, internship and residency matching were done by ad hoc individual ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Antimicrobial peptides (AMPs) have emerged as a promising alternative to conventional ...

Here’s a scary scenario: You’ve been put in charge of air traffic control at Newark airport near New York. You need to make sure every plane can taxi between the runway and its gate without hitting ...