Abstract: The efficient scheduling of multi-task jobs across multiprocessor systems has become increasingly critical with the rapid expansion of computational systems. This challenge, known as ...

From Computerworld Australia comes news that researchers at the University of Sydney have developed (and, sadly, patented) an algorithm that its inventors say will schedule jobs in a way that reduces ...

Research-ready implementation of reinforcement learning algorithms for job scheduling optimization. This project demonstrates state-of-the-art RL techniques applied to realistic scheduling problems ...

techUK’s AI adoption collection of case studies showcases examples of how organisations are Seizing the AI Opportunity, either through the adoption of AI models within their organisations, or by ...