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Posts by MPRAUTO MPRAUTO

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  • MPRAUTO MPRAUTO
  • Page 33
About MPRAUTO MPRAUTO
Digital Twin Ontologies: Brick Schema, RDF and SHACL for Semantic Building and Asset Models

Digital Twin Ontologies: Brick Schema, RDF and SHACL for Semantic Building and Asset Models

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted iniiot1 Comment
Digital twin ontology explained: Brick Schema, RDF triples, SPARQL and SHACL validation for semantic models of buildings and industrial assets, with.
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PTP (IEEE 1588) vs NTP vs Chrony: Time Synchronization for Industrial IoT and Distributed Systems

PTP (IEEE 1588) vs NTP vs Chrony: Time Synchronization for Industrial IoT and Distributed Systems

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted iniiot4 Comments
PTP IEEE 1588 vs NTP vs chrony explained: clock sync error sources, hardware timestamping, boundary and transparent clocks, profiles, accuracy limits and.
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Usage-Based Billing Architecture: Metering, Rating, Invoicing and Idempotent Events

Usage-Based Billing Architecture: Metering, Rating, Invoicing and Idempotent Events

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inTech1 Comment
Usage-based billing architecture explained: event metering, idempotent ingestion, rating engines, aggregation windows, invoicing and reconciliation, with.
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Software Carbon Intensity (SCI): Measuring and Reducing the Carbon Footprint of Software

Software Carbon Intensity (SCI): Measuring and Reducing the Carbon Footprint of Software

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inTechNo Comments
Software Carbon Intensity (SCI) explained: the ISO-standard formula, energy, grid intensity, embodied carbon, measurement tooling and carbon-aware.
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Kubernetes ValidatingAdmissionPolicy and CEL: Admission Control Without Webhooks

Kubernetes ValidatingAdmissionPolicy and CEL: Admission Control Without Webhooks

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inKubernetes1 Comment
Kubernetes ValidatingAdmissionPolicy explained: CEL expressions, bindings, parameters, audit and warn actions, MutatingAdmissionPolicy status and when to.
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Synthetic Data for LLM Fine-Tuning: Generation, Quality Filtering and Avoiding Model Collapse

Synthetic Data for LLM Fine-Tuning: Generation, Quality Filtering and Avoiding Model Collapse

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inAINo Comments
Synthetic data for LLM fine-tuning explained: self-instruct, distillation, rejection sampling, quality filters, decontamination and how to avoid model.
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PII Detection and Redaction for LLM Applications: Presidio, NER and Reversible Tokenization

PII Detection and Redaction for LLM Applications: Presidio, NER and Reversible Tokenization

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inAINo Comments
PII redaction for LLM applications explained: detection with regex, NER and Presidio, reversible tokenization, latency budgets, recall trade-offs and a.
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Differential Privacy for Machine Learning: DP-SGD, Privacy Budgets and What Epsilon Really Means

Differential Privacy for Machine Learning: DP-SGD, Privacy Budgets and What Epsilon Really Means

Posted by By MPRAUTO MPRAUTO October 9, 2026Posted inAINo Comments
Differential privacy for machine learning explained: DP-SGD, gradient clipping, noise calibration, privacy accounting, epsilon budgets and the accuracy.
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RisingWave vs Materialize vs Flink SQL: Streaming SQL and Materialized Views for IoT Telemetry

RisingWave vs Materialize vs Flink SQL: Streaming SQL and Materialized Views for IoT Telemetry

Posted by By MPRAUTO MPRAUTO October 8, 2026Posted inTechNo Comments
RisingWave vs Materialize vs Flink SQL compared for IoT telemetry: incremental materialized views, state storage, consistency, windowing, operations cost.
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Digital Twin Verification, Validation and Uncertainty Quantification (VVUQ)

Digital Twin Verification, Validation and Uncertainty Quantification (VVUQ)

Posted by By MPRAUTO MPRAUTO October 8, 2026Posted iniiot2 Comments
Digital twin VVUQ explained: verification vs validation, uncertainty quantification, calibration, model-fidelity metrics and how to build trust in twin.
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Posts pagination

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  • Teamcenter 2606: Copilot for CAD and PMI, New Active Workspace, SAP and Polarion Links (2026)
  • Isaac Sim 6.2: Newton 1.6.1, Cortex Removal and Breaking Changes Before You Upgrade (2026)
  • Matter 1.6 and 1.6.1: Groupcast, NFC Setup, Joint Fabric, Product Security 1.1 (2026)
  • Linux 7.1 Mainline PREEMPT_RT on 32-bit ARM: Build, Measure Latency, Compare With Zephyr (2026)
  • Qualcomm Dragonwing Q-2390 vs IQ-2390: A78, 1.1 TOPS NPU, TSN, RISC-V Core (2026)
  • Terraform MCP Server GA: Connecting AI Assistants to HCP Terraform Safely (2026)
  • GitHub’s 8-Hour Outage (Aug 17, 2026): Build a CI/CD Fallback With Mirrors and Runners
  • Google Cloud europe-west2-b Outage (Oct 20, 2026): What Failed and Multi-Zone Failover Design
  • Python 3.15 for ML Pipelines: Lazy Imports, frozendict, Tachyon Profiler and JIT (2026)
  • Nex-N2.5 Agent Models Explained: 1.6T Max, 397B Pro, 35B Mini and the Open-Weights Status (2026)
  • MBZUAI K2 Horizon: Six Fully Open Models up to 375B-A23B, Apache 2.0, With Training Recipes (2026)
  • StepFun Step 5 Preview Open Weights: 600B MoE, 27B Active, 1M Context for Agents (2026)
  • OpenTelemetry GenAI Semantic Conventions: Tracing LLM Calls, Agents, Tokens and Cost (2026)
  • ROS 2 QoS Profiles and DDS Tuning: Reliability, Durability, Deadline and Lifespan over Lossy Wi-Fi (2026)
  • Apache Arrow Flight SQL for High-Throughput Telemetry: Columnar Zero-Copy vs gRPC vs MQTT (2026)
  • ChirpStack LoRaWAN Network Server Architecture: Gateway Bridge, ADR, Multicast and FUOTA (Self-Hosted, 2026)
  • CBOR vs Protobuf vs MessagePack vs FlatBuffers: Encoding IoT Payloads on Constrained Devices (nanopb, CDDL, COSE) (2026)
  • Kubernetes In-Place Pod Resize: Vertical Scaling Without Restarts, VPA, cgroups and QoS (2026)
  • Model Cards, Datasheets and ML-BOM (CycloneDX): AI Supply-Chain Provenance and EU AI Act Documentation (2026)
  • RAG Retrieval Evaluation: Recall@k, nDCG, MRR, Golden Sets and RAGAS in a CI Pipeline (2026)
  • 800V DC Power for AI Data Centers: Solid-State Transformers, Rack Architecture and Efficiency Math (2026)
  • Vehicle Signal Specification (VSS) and Eclipse Kuksa: Software-Defined Vehicle Data Layer Architecture (2026)
  • Rust Embedded for IoT Firmware: Embassy Async vs Zephyr vs FreeRTOS on Cortex-M (2026)
  • WebGPU In-Browser LLM Inference: WebLLM, WGSL Kernels, VRAM Limits and When It Beats WASM (2026)
  • LLM Gateways Compared: LiteLLM vs Portkey vs Kong AI Gateway vs Cloudflare AI Gateway (2026)
  • Managed Kubernetes in 2026: EKS vs GKE vs AKS on Networking, Upgrades, Autoscaling and Cost
  • Co-Simulation Master Algorithms: Jacobi vs Gauss-Seidel, SSP and Algebraic Loops for Digital Twins (2026)
  • SROS2: ROS 2 Security with DDS-Security, Enclaves, Certificates and Access Control Policies (2026)
  • SLH-DSA vs ML-DSA vs FN-DSA: Post-Quantum Firmware Signing and Secure Boot for IoT (2026)
  • A/B Testing for ML Systems: CUPED, Sequential Testing, Interleaving and Contextual Bandits (2026)
  • Vitess vs Citus vs CockroachDB: Horizontal Sharding Architecture for MySQL and PostgreSQL (2026)
  • Distributed Locks, Leases and Fencing Tokens: Redlock Critique and etcd/ZooKeeper Correctness (2026)
  • Confidential VMs: Intel TDX vs AMD SEV-SNP vs Arm CCA and Remote Attestation Architecture (2026)
  • GPU Sharing on Kubernetes: NVIDIA MIG vs MPS vs Time-Slicing vs vGPU for Multi-Tenant Inference (2026)
  • LLM Prefix Caching: RadixAttention vs vLLM Automatic Prefix Caching and KV Cache Reuse (2026)
  • Requirements Management in PLM: ReqIF, DOORS vs Jama vs Polarion and End-to-End Traceability (2026)
  • Large-Scale Digital Twin Visualization: 3D Tiles, Cesium, Point Cloud Streaming and LOD Architecture (2026)
  • TSN Time-Aware Shaper (IEEE 802.1Qbv): Gate Control List Scheduling for Deterministic Industrial Ethernet (2026)
  • ISA-88 Batch Control: Recipe Management, the Physical and Procedural Models, and MES/Digital Twin Integration (2026)

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