Not long ago,the following sentence would have sounded like a consultant’s fever dream: In 2026, digital advertising spend in ...

The performance marketing firm is researching the implications of giving AI agents responsibility for key performance indicators, potentially reshaping campaign management.

Abstract: This paper addresses the distributed optimization problem with privacy concerns over time-varying unbalanced networks, where agents collaborate to optimize the average of local objective ...

You probably don’t need more time. By Jancee Dunn When I look back on all the major decisions I’ve dithered over, I could scream. It took me a decade to commit to becoming a parent. I wavered for a ...

Abstract: In this paper, we investigate the distributed optimization problem for heterogeneous linear multi-agent systems with unknown disturbances. To solve this problem, we propose a distributed ...

Your code runs without any errors Leave your name, student ID, ETH email address and URL link to demo video in the my-info.json file. April 9: Dear student, we find a minor typo in the README.md. The ...

A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by ...

The traveling salesman problem is considered a prime example of a combinatorial optimization problem. Now a Berlin team led by theoretical physicist Prof. Dr. Jens Eisert of Freie Universität Berlin ...

Energy systems models are invaluable planning tools. However, these tools typically produce singular “cost-optimal” solutions that can overlook other solutions that may be more viable when considering ...