The Parallel-R1 framework uses reinforcement learning to teach models how to explore multiple reasoning paths at once, ...

Abstract: This paper studies the coil scheduling problem in parallel continuous annealing lines, which is derived from practical steel production. The problem is to assign the candidate coils to the ...

Following Federal Railroad Administration (FRA) approval in April and launch of Phase 1 in June, Parallel Systems, in partnership with Genesee & Wyoming (G&W), has transitioned to Phase 2 of its first ...

After a decade of accumulating air miles between Entebbe, Nairobi and Beijing, officials in Kampala say the wait is over and a modern rail link between Uganda and the global value chains through Kenya ...

The Global ABM Conference 2025 delegate brochure is packed with all the information you'll need ahead of booking your ticket. Our second ever Global B2B Marketing Agencies Benchmarking Report is back ...

Solving the AI Cooling Challenge explores how data center operators can evolve their infrastructure to meet modern thermal demands—starting at the cabinet level. Backed by CPI’s decades of experience ...

Cyber catastrophe models are a potential solution to the “chicken and egg” growth problem the market faces, according to Lockton Re. Lockton Re argued in a recently released report that, when it comes ...

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Abstract: Network anomaly detection (NAD) aims to capture potential abnormal behaviors by observing traffic data over a period of time. In this work, we propose a machine learning framework based on ...