ShipPaulJobs - Leading MARITIME 4.0 with AI, Data and Cybersecurity

🛡️ Cybersecurity IACS UR E26/E27 SCARP Smart Ship Field Insight Why IACS UR E26/E27 Demand a New Operating Model for Shipbuilding - Smart Ships, Structural Risk A Decade Inside the Shipyard — What Owner Policy, SCARP, and Industry Standardization Must Mean in Practice Captain Ethan Maritime 4.0 · AI, Data & Cyber Security - LinkedIn : https://www.linkedin.com/in/shipjobs/ Digitalization, automation, smart ships, and AI-driven operations are advancing at unprecedented speed. The global maritime sector is at a historic turning point — and at the center of this transformation lies one undeniable truth: ships are becoming smarter, and simultaneously more vulnerable. IACS UR E26 and UR E27 are no longer "new regulations." They are r...

📄 Paper Review NeurIPS 2020 Reinforcement Learning Memory Allocation Multi-Task RL Dynamic Allocation of Limited Memory Resources in Reinforcement Learning Sindhu Padakandla · Prabuchandran K.J. · Shalabh Bhatnagar  ·  Indian Institute of Science  ·  NeurIPS 2020 Captain Ethan Maritime 4.0 · AI, Data & Cyber Security Paper Details Title Dynamic Allocation of Limited Memory Resources in Reinforcement Learning Authors Sindhu Padakandla, Prabuchandran K.J., Shalabh Bhatnagar (Indian Institute of Science) Venue NeurIPS 2020 (Advances in Neural Information Processing Systems) Key Method Online learning framework for memory allocat...