Smart Eye has announced that it is to host a technology demonstration next month of a new multimodal in-cabin AI agent that can interpret context, decide what to do next and take action
The agent draws on multiple sources of input, including voice, driver identity, gaze, attention, emotion, driver state and occupancy, alongside information from the vehicle’s interior and exterior sensing systems.
Agentic AI can require significant computing resources, particularly for complex tasks. Adding multimodal context to each request can provide agents with more complete and targeted information, potentially reducing the processing required to reach a useful outcome.
Continue reading Smart Eye to demonstrate multimodal AI agent that combines human, vehicle and environmental context at ADAS & Autonomous Vehicle International.
Source link







