Transformative Technologies
- Transformative technologies such as sensors, artificial intelligence, digital twins, secure communication, high-performance computing, and autonomy are characterized as converging into intelligent cyber-physical maritime systems rather than acting as isolated innovations
- Real-time sensing, physics-based digital twins, AI-driven interpretation, secure data integrity, and continuous prediction are framed as forming coherent, living, adaptive, and trustworthy systems
- Static digital models used only for design, approval, and certification are contrasted with living digital twins that evolve continuously with operational and environmental data across the entire life cycle
- A fusion of physics-based models and data-driven methods is described as enabling reliable prediction of structural response, system performance, degradation, and remaining useful life, while supporting maintenance and operational decisions
- A shift from AI as statistical pattern recognition toward physics-informed AI as engineering intelligence is presented as essential for diagnostics, prognostics, decision support, and explainable safety-critical reasoning
- Reliable, continuous, and secure satellite communication supported by blockchain-secured data transmission is positioned to establish data integrity, provenance, and trust for certification, life cycle management, and regulatory decision-making
- Energy sovereign ships are defined as vessels capable of producing, managing, and sustaining their own energy over 50 to 100 years, with small modular reactors, advanced alternative fuels, and embedded crashworthy, failsafe design philosophies
- Autonomy is framed as human repositioning within resilient sociotechnical systems, where human-in-the-loop supervision, ethical boundaries, and system healthcare remain integral to safety, accountability, and trust
Updated on Feb 24, 2026