MPR CB, Author at IoT Digital Twin PLM

d-Matrix Corsair and the Rise of Dedicated AI Inference Silicon (2026 Analysis)

By MPRAUTO MPRAUTO July 2, 2026TechNo Comments

An analysis of d-Matrix Corsair and digital in-memory compute: why dedicated AI inference silicon is challenging GPUs on cost, latency, and energy for LLM serving in 2026.

Perpetual KYC (pKYC) Architecture: Continuous Risk Reassessment for 2026

By MPRAUTO MPRAUTO July 2, 2026TechNo Comments

A perpetual KYC (pKYC) reference architecture: event-driven risk reassessment, entity resolution, screening, an ML risk engine, and case management for continuous compliance.

PostgreSQL vs Distributed SQL (CockroachDB, YugabyteDB): A Multi-Tenant SaaS ADR (2026)

By MPRAUTO MPRAUTO July 2, 2026ArchitectureNo Comments

Postgres vs distributed SQL for multi-tenant SaaS: when a single primary with read replicas beats CockroachDB or YugabyteDB, consistency, latency, cost, and a decision record.

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

By MPRAUTO MPRAUTO July 2, 2026AINo Comments

Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

By MPRAUTO MPRAUTO July 2, 2026AINo Comments

Long-context LLM benchmarks in 2026: why 1M-token windows do not mean 1M-token reasoning, RULER, NIAH, effective context length, and how to test long-context models properly.

RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

By MPRAUTO MPRAUTO July 2, 2026AINo Comments

How to evaluate RAG systems in production: faithfulness, context precision/recall, answer relevancy, RAGAS-style metrics, golden sets, and an evaluation pipeline architecture.

Industrial World Models: How Physical AI Is Reshaping Factory Autonomy in 2026

By MPRAUTO MPRAUTO July 2, 2026TechNo Comments

Industrial world models explained: how learned simulators and physical AI give robots and digital twins predictive foresight, and what it means for factory autonomy in 2026.

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

By MPRAUTO MPRAUTO July 2, 2026Digital TwinNo Comments

A hands-on FMI 3.0 co-simulation tutorial using FMPy in Python: importing FMUs, master algorithms, clocks and terminals, and orchestrating a multi-FMU digital twin.

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

By MPRAUTO MPRAUTO July 2, 2026Digital TwinNo Comments

A hands-on FMI 3.0 co-simulation tutorial using FMPy in Python: importing FMUs, master algorithms, clocks and terminals, and orchestrating a multi-FMU digital twin.

d-Matrix Corsair and the Rise of Dedicated AI Inference Silicon (2026 Analysis)

Perpetual KYC (pKYC) Architecture: Continuous Risk Reassessment for 2026

PostgreSQL vs Distributed SQL (CockroachDB, YugabyteDB): A Multi-Tenant SaaS ADR (2026)

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

Long-Context LLM Benchmarks 2026: RULER, Effective Context, and the Lost-in-the-Middle Problem

RAG Evaluation Architecture: Faithfulness, Context Precision, and RAGAS-Style Metrics (2026)

Industrial World Models: How Physical AI Is Reshaping Factory Autonomy in 2026

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

FMI 3.0 Co-Simulation with FMPy: A Hands-On Digital Twin Tutorial (2026)

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