· ~6 min read
XR Performance: Real-Time Inference Optimization
Optimizing AI inference for XR devices — model quantization, NPU acceleration, hierarchical serving, bandwidth optimization for real-time 60fps rendering.
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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.
Optimizing AI inference for XR devices — model quantization, NPU acceleration, hierarchical serving, bandwidth optimization for real-time 60fps rendering.
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.
A deep dive into the networking architecture of OSISM-managed SCS cloud deployments — covering network separation, Virtual IPs (VIPs), Keepalived, HAProxy, and multi-node connectivity for production-ready sovereign cloud infrastructure.
A practical guide to choosing the right 3D printing filament for mechanical parts, outdoor use, food contact, and high-temperature environments.
WebGPU hit Baseline, Safari finally shipped WebXR, AI-assisted XR development landed from Meta and Google, and adoption surged 40%. A no-hype look at the immersive web ecosystem in mid-2026.
Analyzing 63,844 L-functions reveals a sharp split in their zero spacing statistics: CM forms follow GUE (Montgomery-Odlyzko), non-CM forms are near-Poisson. The aggregate intermediate value is a mixing artifact.