Industrial AI & LLM Engineering Blog | Red Teaming Guides & Evaluation Tutorials

China Surface-Piercing Propeller (SPP) Expert:
Research Landscape & Engineering Applications

Comprehensive analysis of China's SPP research status, key experts (Shanghai Jiao Tong University, Naval University of Engineering), commercial manufacturers (TSD Surface Drive), and AI optimization techniques. Full-cycle SPP design consulting services by Professor-level Senior Engineer with 37 years marine propulsion experience.

China USV Industry Overview:
Technology Levels and AI Integration

In-depth analysis of China's USV industry status, major companies (Yunzhou, etc.), technology levels, and AI integration prospects. Covers autonomous navigation, AI decision-making, LLM applications. Written by Professor-level Senior Engineer with 37 years marine engineering experience.

Red Teaming for AI Models: Ultimate Guide [2025]

Comprehensive guide to AI red teaming: systematic adversarial testing methodologies, real-world case studies, and practical frameworks for evaluating LLM safety. Learn attack vectors, defense strategies, and industrial implementation from Ma Weize's 37 years of engineering experience applied to AI safety testing.

How to Evaluate LLM Models for Industrial Use:
Complete Framework

Step-by-step framework for evaluating large language models in production environments. Covers accuracy testing, safety alignment, performance benchmarks, cost analysis, and deployment considerations. Includes scoring rubrics, real-world case studies, and decision matrices for industrial AI selection.

DeepSeek vs Claude vs GPT-4:
Engineering Comparison [2025]

Head-to-head comparison of DeepSeek, Claude Sonnet 4.5, and GPT-4 for engineering tasks. Real-world testing on code generation, technical documentation, problem-solving, and cost efficiency. Data-driven analysis with performance metrics, API response times, and production deployment recommendations.

How AI Translates Engineer Language into
Breakthrough Propeller Efficiency

Introducing LWCM (Language-to-Workflow Conversion Model): AI framework that slashes propeller design time by 87% and boosts thrust by 35%. Learn how natural language interfaces revolutionize engineering optimization. Real case study with performance metrics: 1.5% efficiency gain, 72% fewer redundant computations.

From DeepSeekMath-V2 to Industrial Self-Verifying AI:
Engineering Experience and Process Awareness

Exploring how DeepSeekMath-V2's revolutionary self-verification paradigm can transform industrial engineering AI. Using surface piercing propeller design as a case study, this paper presents a framework for building "industrial self-verifying intelligent agents" that integrate domain knowledge, multi-objective optimization, and process awareness. Bridging the gap between mathematical proof verification and complex engineering trade-offs.

AI-Grbl-Cut: Vision-Enhanced Laser Cutting
with Real-Time Feedback Control

Introducing an open-source intelligent laser cutting system combining computer vision, AI path planning, and real-time feedback control. Transform standard CNC laser cutters into intelligent precision machines with 95% faster setup, 3x accuracy improvement, and 40% speed optimization.

From 37-Year Marine Engineer to AI Model Evaluation Expert:
My Career Transformation Journey

A 59-year-old professor-level marine engineer shares his journey from traditional engineering to AI model evaluation. Discover how 37 years of engineering experience applies to LLM evaluation, Red Teaming, and industrial AI safety alignment. Learn the transformation path, ShipTechAI development story, and practical advice for engineers.

AI Agent in High-Speed Propeller Design:
ShipTechAI Case Study

In-depth analysis of using Deepseek and Claude collaboration to develop ShipTechAI, improving propeller design efficiency by 96%. Real cases: 3D interpolation algorithm implementation, intelligent diagnostic system development, dual-AI collaboration workflow. Complete technical path from traditional 4-6 hours to AI-assisted 10 minutes.

From Zero to Python Developer at 59:
My 10-Day Journey

Real documentation of the 10-day learning journey from complete programming beginner to independently developing ShipTechAI. Sharing the right methods for AI-assisted learning, engineer's advantages, actual development cases (data reading, 3D interpolation, GUI interface), and specific advice and learning roadmap for zero-base learners.

Deepseek vs Claude:
Real Engineering Comparison

AI model evaluation expert's real comparison based on ShipTechAI project: multi-dimensional evaluation of code generation speed & quality, architecture design capability, error diagnosis accuracy, professional knowledge depth. Detailed collaboration strategies, dual-AI workflow, prompt optimization techniques, and comprehensive scoring (Deepseek 8.4/10, Claude 8.7/10).

Deep Learning for Piracy Detection and Maritime Threat Assessment

Navigating New Waters: How Deep Learning is Revolutionizing Piracy Detection and Maritime Threat Assessment The vast, ungoverned expanse of the world's oceans presents a unique an...

Predictive Maintenance for Marine Engines: IoT and Machine Learning

Predictive Maintenance for Marine Engines: Harnessing IoT and Machine Learning The relentless pulse of a ship's engine is the heartbeat of global trade. For fleet managers and marine engi...

AI-Driven Ship Valuation and Maritime Asset Management

Navigating New Waters: How AI is Revolutionizing Ship Valuation and Maritime Asset Management The global maritime industry, the backbone of international trade, is navigating a pe...

Autonomous USV Navigation in Congested Waters: AI Solutions

Autonomous USV Navigation in Congested Waters: AI Solutions The world's waterways are the lifeblood of global trade, recreation, and scientific discovery. As these maritime spaces become ...

AI-Powered Ship Hull Inspection Using Computer Vision: The Future of Maritime Safety

AI-Powered Ship Hull Inspection Using Computer Vision: The Future of Maritime Safety Ship hull inspection has traditionally been a time-consuming, expensive, and potentially dangerous pro...

AI-Powered Autonomous Surface Vessels: 8 Revolutionary Technologies in 2025

AI-Powered Autonomous Surface Vessels: 8 Revolutionary Technologies in 2025 The maritime industry is experiencing a technological revolution. Autonomous surface vessels (ASVs), powered by...

Optimizing Jack-Up Platform Operations with AI: From Installation to Decommissioning

Optimizing Jack-Up Platform Operations with AI: From Installation to Decommissioning Jack-up platforms are engineering marvels, but their operation involves complex decisions at every sta...

AI-Powered Predictive Maintenance for Jack-Up Platforms

AI-Powered Predictive Maintenance for Jack-Up Platforms Jack-up platforms are crucial infrastructure in offshore oil and gas operations, but their maintenance presents significant challen...

Collaborative Robots Make Manufacturing Safer: Complete Guide 2025

Robots Working Safely With Humans At BMW factories, robots and humans assemble cars side-by-side. When a human approaches, the robot slows down. If there's contact, it stops in 0.4 second...

Agricultural Robots with Computer Vision: How AI is Revolutionizing Farming in 2025

The Farm of the Future Has Arrived A single farmer in Iowa now manages 1,000 acres alone using AI-powered robots. These machines plant seeds with millimeter precision, identify individual...

AI-Powered Warehouse Robots: How Amazon and Tesla Automate Logistics in 2025

The Robot Revolution in Warehouses is Here Walk into an Amazon fulfillment center today, and you'll see 750,000+ robots working alongside humans. These aren't simple conveyor belts - they...

USV Fleet Management System: Complete Guide to Multi-Vessel Operations 2025

How to Coordinate 10+ Autonomous Boats with Centralized Fleet Management Managing a single autonomous surface vessel (USV) is challenging. Managing a fleet of 10-100 USVs is exponentially...

Maritime Data Processing Pipeline: Complete Guide to USV Sensor Data Management 2025

How to Collect, Process, and Analyze Terabytes of USV Sensor Data A single autonomous surface vessel (USV) generates 50-500 GB of sensor data per day. Multibeam sonar scans produce 1 GB/h...

Multi-Sensor Fusion for Autonomous Boats: Complete Guide to USV Sensor Integration 2025

How to Combine GPS, Sonar, IMU, and Camera Data for Reliable USV Navigation Building an autonomous surface vessel (USV) requires integrating data from multiple sensors to create a reliabl...

Long-Range Communication Systems for USVs: 4G/5G/Satellite Comparison Guide 2025

Introduction: The Communication Challenge for Autonomous Vessels Your autonomous surface vessel can navigate perfectly, collect terabytes of data, and operate for days... but if you can't...

Bathymetric Mapping with Autonomous Boats: Complete Guide to USV Hydrographic Surveys 2025

Introduction: Why USVs Are Revolutionizing Hydrographic Surveys Traditional bathymetric surveys require expensive manned vessels costing $5,000-20,000 per day. Autonomous surface v...

GPS Spoofing Detection for Autonomous Boats: $0 Software Defense vs $10,000 Hardware

Introduction: The $300 Attack That Kills Your $200,000 USV Here's a scary fact: anyone with $300 can buy a GPS spoofer on Amazon or eBay and completely hijack your autonomous surface vess...

AI-Powered Zero-Day Attack Detection for Maritime Robots: Machine Learning IDS Tutorial

Introduction: The Zero-Day Problem in Maritime Security Traditional intrusion detection systems (IDS) are blind to zero-day attacks—novel attack patterns not yet in their signature databas...

How to Secure Autonomous Boats and USV Communications: Complete Cybersecurity Guide 2025

Introduction: Why Maritime Cybersecurity Matters Unmanned Surface Vehicles (USVs) and autonomous boats are revolutionizing maritime operations—from ocean surveillance and environmental mon...

Small AI Models for USV Boats: Why Edge Computing Matters in Marine Robotics

Introduction Unmanned Surface Vehicles (USVs) are revolutionizing marine operations, from environmental monitoring to port security. One of the biggest challenges in USV development is run...

Why CSV + AI Analysis is More Powerful Than Python Scripts