Scenario · CRAX
Six domains meet, and a service scenario emerges.
The six AX Lab technology domains are independent research themes, yet real services emerge when several combine.
The graph shows the connection relations; this page explains how those connections expand into vision, derived services, and implementation directions.
— Interactive · 4 scenarios
Pick a scenario and see which domains connect.
Pick a Scenario
Pick a scenario and the related domains connect in the graph.
— Section 1
Graph connections translate into service strategy.
Service · User Experience
Where AI decides, and which screen or conversation returns to the user.
Platform · Technical Structure
Design which layers split models, data, edge, spatial info, and agent execution.
Operation · Operating Mode
Auto-execution, QA, logs, reports, approval — flows the organization can actually use.
IP · Research Assets
Accumulate reusable methods, benchmarks, components, and data structures as AX Lab's knowledge assets.
— Section 2
Technology becomes service in three stages.
01 Sense · Recognize the field.
Edge AI and Spatial Intelligence convert device, location, heading, distance, and city data into real-time context.
02 Create · Generate the experience.
Generative AI and XR create text, images, scenes, and overlay interfaces — tuned to the user's situation.
03 Decide · Judge and operate.
AI Systems and Frontier Computing handle agent execution, automation, optimization, and simulation.
— Section 3
Scenarios are combinations of domains.
Autonomous · Self-driving
Stack: Edge AI + Spatial Intelligence + AI Systems On-device decisions on objects and risks in real time; positioning via GNSS and direction/distance calculation; AI Systems tunes mobility conditions and workflows. Derivatives: field robot operations, logistics-route optimization, factory and exhibition autonomous guidance, in-vehicle AI co-pilot.
Metaverse · Metaverse Content
Stack: Generative AI + XR + Edge AI Generative AI builds scenes, characters, and visual assets; XR places information over reality; Edge AI mirrors user response and environment changes instantly. Derivatives: brand experience spaces, exhibition/education simulation, real-time AR campaigns, personalized immersive content.
Smart City
Stack: Spatial Intelligence + AI Systems + Frontier Computing Location-based interpretation of city data; AI Systems runs operating rules and automated actions; Frontier Computing prepares large-scale simulation and optimization. Derivatives: city digital twin, hazard-response simulation, administration/traffic operations optimization, location-based public services.
Assistant · AI Assistant
Stack: AI Systems + Generative AI + Edge AI AI Systems understands goals and workflows; Generative AI produces documents, images, and conversations; Edge AI enables fast, personalized responses on the device. Derivatives: work co-pilot, brand consultation AI, on-site operations assistant, personalized content-creation tools.
— Section 4
The graph shows relations; scenarios set direction.
Research · Define what to connect
Link domain tech tags with real service needs into testable hypotheses.
Prototype · Validate as a working flow
Combine AI agents, generation pipelines, spatial data, and edge inference into small working flows.
Operation · Extend into an operable system
Iterate execution, quality criteria, monitoring, and reports until the structure is one the organization can actually run.
— 6 building blocks