As universities increasingly adopt digital tools and automated analytics systems, attention often centers on these tools' ...

Isomorphic Lab’s proprietary drug-discovery model is a major advance, but scientists developing open-source tools are left ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

A paper co-authored by Prof. Alex Lew has been selected as one of four "Outstanding Papers" at this year's Conference on Language Modeling (COLM 2025), held in Montreal in October. Lew and his ...

Modern consumer brands are confronting an uncomfortable truth: the products they once made for retail shelves often fail online. The search behavior, recommendation engines, AI assistants, and ...

The auction algorithm is a simple, well-studied alternative to the Hungarian method that: scales well to large problems, is naturally parallelisable and fits JAX’s accelerator model, is widely used in ...

For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment technique ...

We’re racing towards a future in which devices will be able to read our thoughts. You see signs of it everywhere, from brain-computer interfaces to algorithms that detect emotions from facial scans.

ABSTRACT: For solving assignment problems of staff, equipment and task in engineering support action, a 3-Dimensional assignment model is established, which contains staff skill level, equipment ...

Abstract: Previous multi-agent deep reinforcement learning (MADRL) algorithms have shown strong performance in symmetric scenarios. However, research on numerically disadvantaged scenarios is limited ...