· ~5 min read
AI + XR Integration Patterns
Practical patterns for integrating LLMs, VLMs, and neural networks with immersive XR environments â from spatial AI assistants to real-time scene understanding.
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Educational materials, tutorials, and lecture notes on statistics, machine learning, and AI, plus conference talks and presentations. This includes fundamentals of AR, MR, and VR development (Machine Learning for data science, VR Fundamentals & WebXR Development, 3D Interaction Design, Performance Optimization), as well as research-based teaching on GenAI applications in Virtual Reality, eye tracking and bio sensors in immersive systems, and digital sovereignty and privacy-preserving technologies.
Practical patterns for integrating LLMs, VLMs, and neural networks with immersive XR environments â from spatial AI assistants to real-time scene understanding.
Optimierung der KI-Inferenz fĂŒr XR-GerĂ€te â Modellquantisierung, NPU-Beschleunigung, hierarchisches Serving, Bandbreitenoptimierung fĂŒr Echtzeit-Rendering mit 60 fps.
Optimizing AI inference for XR devices â model quantization, NPU acceleration, hierarchical serving, bandwidth optimization for real-time 60fps rendering.
Ein umfassender Vergleich von k3s-Distributionen (offiziell, k3sup, k3d, AutoK3s) und CNI-Plugins (Flannel, Calico, Cilium, Canal), der die UnterstĂŒtzung von NetworkPolicy, Performance-Benchmarks, Ingress, Storage sowie Ăberlegungen fĂŒr den Produktionseinsatz abdeckt.
A comprehensive comparison of k3s distributions (official, k3sup, k3d, AutoK3s) and CNI plugins (Flannel, Calico, Cilium, Canal) covering NetworkPolicy support, performance benchmarks, ingress, storage, and production deployment considerations.
Ein tiefer Einblick in die Netzwerkarchitektur von OSISM-verwalteten SCS-Cloud-Deployments â inklusive Netzwerkseparation, Virtual IPs (VIPs), Keepalived, HAProxy und Multi-Node-KonnektivitĂ€t fĂŒr produktionsreife, souverĂ€ne Cloud-Infrastrukturen.