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Posts by MPRAUTO MPRAUTO

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  • MPRAUTO MPRAUTO
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About MPRAUTO MPRAUTO
How Tokamak Fusion Reactors Actually Work: The Physics of Confining a 150-Million-Degree Plasma

How Tokamak Fusion Reactors Actually Work: The Physics of Confining a 150-Million-Degree Plasma

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inScienceNo Comments
The complete physics of tokamak fusion — magnetic confinement, plasma heating, the Lawson criterion, instabilities, and why it's so hard to sustain fusion. From first principles to ITER and beyond.
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CRISPR Epigenetic Editing: How Scientists Silence and Reactivate Genes Without Cutting DNA

CRISPR Epigenetic Editing: How Scientists Silence and Reactivate Genes Without Cutting DNA

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inAINo Comments
CRISPR Epigenetic Editing: How Scientists Silence and Reactivate Genes Without Cutting DNA - updated October 2026 with verified facts, diagrams and FAQ.
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SiFive RISC-V AI Chip Architecture: Open-Source Silicon in 2026

SiFive RISC-V AI Chip Architecture: Open-Source Silicon in 2026

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inTechNo Comments
SiFive RISC-V AI chip architecture: vector extensions, XM series, open-source ISA economics, and 2026 market status vs Arm and x86.
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Event-Driven Backtesting Engine Architecture for Algorithmic Trading

Event-Driven Backtesting Engine Architecture for Algorithmic Trading

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inTech3 Comments
Event-driven backtesting engine architecture explained: event loop, fill simulation, lookahead bias and NautilusTrader vs LEAN. Updated October 2026.
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Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine

Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inTech2 Comments
Apache Iceberg Deep Dive: Building a Production Data Lakehouse from Catalog to Query Engine - updated October 2026 with verified facts, diagrams and FAQ.
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DPO vs RLHF vs SFT: A Practitioner’s Benchmark of LLM Alignment Methods in 2026

DPO vs RLHF vs SFT: A Practitioner’s Benchmark of LLM Alignment Methods in 2026

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inAI2 Comments
DPO vs RLHF vs SFT: A Practitioner's Benchmark of LLM Alignment Methods in 2026 - updated October 2026 with verified facts, diagrams and FAQ.
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GraphRAG Architecture Patterns: Building Knowledge-Graph-Enhanced Retrieval for Enterprise LLM Ap…

GraphRAG Architecture Patterns: Building Knowledge-Graph-Enhanced Retrieval for Enterprise LLM Ap…

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inAI1 Comment
GraphRAG Architecture Patterns: Building Knowledge-Graph-Enhanced Retrieval for Enterprise LLM Appli - updated October 2026 with verified facts, diagrams
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ROS 2 Nav2 in Production: How Autonomous Mobile Robots Navigate Complex Warehouse Environments

ROS 2 Nav2 in Production: How Autonomous Mobile Robots Navigate Complex Warehouse Environments

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted iniiotNo Comments
ROS 2 Nav2 in Production: How Autonomous Mobile Robots Navigate Complex Warehouse Environments - updated October 2026 with verified facts, diagrams and FA
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SysML v2 Hands-On Tutorial: Building Your First MBSE Model with PLM Integration

SysML v2 Hands-On Tutorial: Building Your First MBSE Model with PLM Integration

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inDigital TwinNo Comments
SysML v2 Hands-On Tutorial: Building Your First MBSE Model with PLM Integration - updated October 2026 with verified facts, diagrams and FAQ.
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FMI/FMU Co-Simulation for Digital Twins: Model Exchange vs Co-Simulation and When to Use Each

FMI/FMU Co-Simulation for Digital Twins: Model Exchange vs Co-Simulation and When to Use Each

Posted by By MPRAUTO MPRAUTO April 16, 2026Posted inDigital Twin2 Comments
FMI/FMU Co-Simulation for Digital Twins: Model Exchange vs Co-Simulation and When to Use Each - updated October 2026 with verified facts, diagrams and FAQ
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Posts pagination

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  • 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)
  • Kubernetes Default-Deny Network Policy: Microsegmentation Rollout with Cilium vs Calico (2026)
  • Spot and Preemptible Instance Architecture: Interruption-Tolerant Kubernetes, GPU Training and Checkpointing (2026)
  • Multi-LoRA Serving Architecture: Serving Hundreds of Fine-Tuned Adapters on One GPU with vLLM and S-LoRA (2026)
  • Offline Batch LLM Inference Architecture: Provider Batch APIs vs Self-Hosted vLLM on Cost and Throughput (2026)
  • Semantic Layer for LLM Analytics: MetricFlow vs Cube, Governed Metrics and Text-to-SQL That Does Not Lie (2026)
  • Marketplace Payments Architecture: Split Payments, Payouts, Escrow and KYB for Connected Accounts (2026)
  • Portfolio Optimization Engine: Mean-Variance, Black-Litterman, Risk Parity and Covariance Shrinkage (2026)
  • Yield Curve Construction Engine: Bootstrapping OIS/SOFR Curves, Interpolation and Real-Time Risk (2026)
  • Genesis vs MuJoCo Playground vs Isaac Lab: GPU Robot Simulation for Sim-to-Real (2026)
  • NERC CIP and IEC 62443 Mapping: OT Security Compliance for Electric Utilities (2026)
  • IFC 4.3 and openBIM for Digital Twins: Connecting BIM Models to Live IoT Data (2026)
  • Koopman Operator and SINDy for Digital Twins: Data-Driven System Identification (2026)

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