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On June 5th, the IT House announced an Artificial Intelligence Claw Ecology Plan for the Car End, together with Chengmai Technology, the United Motor Federation, Zebra Intelligence, Dessaiwey, Magnesia Technology and Central Cobonda, at a summit on technology and cooperation in the High Express Motors, held today in Noo Tin.

Officially, this eco-plan combines the thorium digital chassis solution with the high-intensity smart body AI operating environment and builds the capacity of eco-enterprises in cabins, car-borne operating systems, smart intermediates, AI applications and mass delivery. This plan is designed to eliminate fragmentation problems that have long impeded the development of the next generation of automobiles ' intelligence, and to provide a faster and more integrated path from conceptual validation to mass landings.

Through the Carside Artificial Intelligence Claw Ecology Programme, Highcomtech and Ecobusiness are committed to the direct deployment of AI ' s smarts and polymodular megamodels to the end of the vehicle, and to the evolution of cars from "mobile tools" to "smart partners".

IT House was informed that the Claw Ecoplan and Smart Body AI operating environment focuses on the following core competencies:

All-weather multimodular perception: through the integration of real-time data, such as cameras, audio, vehicle state, inside and outside of the vehicle, the system is able to develop an all-weather online intelligent understanding of the vehicle environment - from the implementation of a single directive to a smart cabin that can understand the situation and predict the driver ' s needs.

Large models of 10 billion parameters to support complex decision-making: based on a hybrid expert model (MoE) that operates in real time on the side of the terminal, the system can achieve advanced semantic understanding, logical reasoning and multi-step mission planning in complex cabin scenarios, and can provide rapid, safe and interactive round-the-clock experience, whether or not vehicles are connected.

Vehicle-level security architecture: The six-storey security mechanism covers vehicle control classification, user authorization, operational audit, security strategy, privacy protection and vehicle configuration, supports the AI capability to be reliably mobilized within a certified security framework, reduces the complexity of compliance and brings an AI experience that can be trusted by drivers.

Evolving AI Ecosystems: Based on rapid validation, low-threshold access, re-use of capacity and continuous feedback, the platform drives AI from static, preset delivery to continuous iterative, and enabling vehicles to move faster towards the location of a completely new smart scene, while allowing drivers to experience more intelligent cars.

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