Adaptive algorithms have emerged as a cornerstone in the development of networked systems, providing robust methods for real‐time estimation, classification and signal processing over distributed ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Scheduling algorithms lie at the heart of manufacturing systems optimisation by determining the order and allocation of tasks to resources. Their development is crucial for minimising production times ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning algorithms, ClairS-TO and Clair3-RNA, that significantly advance genetic ...

Recent survey delivers the first systematic benchmark of TSP solvers spanning end-to-end deep learners, hybrid methods and brand-new LLM-based hybrids, revealing that hybrids give best-in-class routes ...