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=== AI and spatial computing convergence ===
=== AI and spatial computing convergence ===


'''On-device machine learning''' in spatial computing enables Apple's Create ML to train object tracking models directly from command line-converting 3D model files through ML training for visionOS tracking. '''Multimodal AI''' bridges spatial and business data, processing text, image, audio, and spatial data types simultaneously.<ref name="Deloitte_Trends">[https://www2.deloitte.com/us/en/insights/focus/tech-trends/2025/tech-trends-future-of-spatial-computing.html Deloitte Tech Trends 2025 – Future of Spatial Computing]</ref>
'''[[On-device machine learning]]''' in spatial computing enables Apple's Create ML to train object tracking models directly from command line-converting 3D model files through ML training for visionOS tracking. '''[[Multimodal AI]]''' bridges spatial and business data, processing text, image, audio, and spatial data types simultaneously.<ref name="Deloitte_Trends">[https://www2.deloitte.com/us/en/insights/focus/tech-trends/2025/tech-trends-future-of-spatial-computing.html Deloitte Tech Trends 2025 – Future of Spatial Computing]</ref>


'''Spatial AI''' at the intersection of spatial computing and AI/ML includes edge AI processors for local inference, spatial cameras and sensors for AR, hardware-in-the-loop simulation platforms, and geospatial data processing units. Deloitte Tech Trends 2025 predicts spatial computing will converge with '''agentic AI systems''' that are context-aware and capable of executing functions proactively, able to serve the right content at the right time without explicit commands, and multimodal while processing spatial, visual, and business data simultaneously.<ref name="Deloitte_Trends"/>
'''[[Spatial AI]]''' at the intersection of spatial computing and AI/ML includes edge AI processors for local inference, spatial cameras and sensors for AR, hardware-in-the-loop simulation platforms, and geospatial data processing units. Deloitte Tech Trends 2025 predicts spatial computing will converge with '''[[agentic AI]] systems''' that are context-aware and capable of executing functions proactively, able to serve the right content at the right time without explicit commands, and multimodal while processing spatial, visual, and business data simultaneously.<ref name="Deloitte_Trends"/>


=== Future applications ===
=== Future applications ===