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Global Automotive Technology Development Trends 7. Artificial Intelligence (AI) Empowerment By 2026, the application of artificial intelligence in the automotive industry has completely transcended simple voice command recognition and basic image processing, and has officially entered a new era of deep integration of systematic, generative, and agentic approaches. -------------------------------------------------------------------------------------- Global Automotive Technology Development Trends Table of contents: 1. Policies, Regulations and Carbon Neutrality Transition Pathways 1.1 AECC 2. Euro 7 and Extreme Emissions Regulation: The Era of Non-Exhaust Pollution and Onboard Monitoring 2.1 Euro 7 – Emission 2.2 EMC 2.3 NVH 2.4 Manufacture-Recycle 3. Diversification of power system technologies and energy transition 3.1 Battery 3.2 BMS 3.3 Motor-MCU 3.4 Inverter 3.5 OBC-Charger 3.6 H2ICE-Fuel Cell 3.7 Thermal Management 4. Evolution of Electronic and Electrical Architecture & Hardware 4.1 EE 4.2 CPU-Sensors 4.3 X-in-1 4.4 Communication-CAN-EtherNet 5. The Evolution of Software-Defined Vehicles (SDV) and the Transfer of Engineering Paradigms 5.1 SDV 5.2 AutoSar 5.3 ASPICE 5.4 Software-Linux 5.5 Agile Development (Agile CI/CD) 5.6 Design-CAE 5.7 Validation 5.8 Testing 5.9 Digital Twin-Zero Prototype 6. The Hierarchical Differentiation and Commercialization Model of Autonomous Driving 6.1 ADAS 7. Artificial Intelligence (AI) Empowerment 7.1 AI 8. The Perception Revolution in Smart Cockpits 8.1 CockPit 8.2 IVI 8.3 HMI 9. Strategic barriers to safety, security, and compliance 9.1 NCAP 9.2 Functional Safety 9.3 Expected Functional Safety (SOTIF) 9.4 Fail Operational 9.5 ISO-PAS 8800 9.6 CyberSecurity 9.7 NIS 2 (Network and Information Systems Security Directive) 10. Foresight Key Materials 10.1 Material