Abstract: Machine learning has demonstrated remarkable effectiveness in solving scheduling problems through end-to-end optimization. However, dynamic events introduce uncertainty and pose significant ...

Sewing machines looked simple, but their inner workings were anything but. Engineers had to invent an entirely new way of sewing to make machines possible. Tiny mechanical movements worked in perfect ...

Researchers at TU Wien have discovered an unexpected connection between two very different areas of artificial intelligence: Large Language Models (LLMs) can help solve logical problems—without ...

A saltwater pool is known for smooth and clear water, but this depends on how well the salt cell works. When the cell starts to fail, the pool may not stay clean, and the system may struggle to make ...

Abstract: The agile Earth observation satellite scheduling problem (AEOSSP) with time-dependent transition time is a combinatorial optimization challenge. Due to its NP-hardness, problem-tailored ...