中科创达：2025年，AI成为汽车行业的主旋律

Core Insights - The automotive industry is undergoing a profound transformation driven by the rapid development of artificial intelligence (AI), with AI expected to become the main theme by 2025 [2] - AI is evolving from being limited to driving systems to permeating the entire automotive value chain, including design, production, interaction, and operation [2] Group 1: AI Applications and Trends - The automotive sector is evolving towards embodied intelligent robots, with more manufacturers applying AI technologies across various scenarios, transforming vehicles from mere "driving tools" to intelligent entities with perception, decision-making, and execution capabilities [2] - The emergence of AIBox is reshaping automotive computing architecture, as the industry shifts towards an integrated edge-cloud hybrid AI model, combining real-time response advantages of edge computing with the powerful computing capabilities of the cloud [2] - The insufficient computing power for edge AI is becoming a bottleneck for the intelligent development of vehicles, leading to the creation of AIBox as a supporting platform for edge AI operations [2] Group 2: Human-Machine Interaction and Operating Systems - The trend of humanization in AI operating systems (AIOS) is becoming increasingly evident, particularly in human-machine interaction (HMI), with AI-driven voice assistants, predictive navigation, and personalized content making vehicles more like "intelligent partners" [3] - The launch of the AI-native vehicle operating system, Drip OS 1.0 Evo, marks a significant step towards a fully AI-driven era in automotive operating systems, integrating cockpit, intelligent driving, and cabin driving functionalities [3] - Drip OS is gradually embedding AI capabilities throughout the vehicle, exemplified by the AI cockpit solution based on the Qualcomm Ride SA8775 chip platform, which integrates multi-modal AI capabilities and AI Agent technology [3] Group 3: Innovative AI Deployments - The GUI Agent can intelligently recognize various screen components and convert natural language commands into executable interface operations without manual input [4] - The AI-enhanced sentinel utilizes external cameras for visual analysis, distinguishing between false alarms and real threats, providing all-day driving safety alerts and proactive protection [4] - The cabin has achieved intelligent perception and proactive recommendation services for occupants and the external environment through multi-modal technology [4] - The company aims to provide global automakers with diverse application scenarios, including intelligent cockpits, cabin-driving integration, and cabin-parking unification, focusing on core technologies in chip computing architecture and operating systems [4]