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DeWu Technology

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DeWu Technology
DeWu Technology
Feb 12, 2025 · Artificial Intelligence

Edge Intelligence for Intelligent Video Cover Recommendation

The article describes an edge‑based video‑cover recommendation system for DeWu that leverages the MNN SDK and a lightweight MobileNetV3 model, performing on‑device inference with quantization and parallel processing to automatically select high‑quality covers, achieving sub‑second latency and boosting click‑through rates by up to 18 %.

Edge AIVideo Coverinference optimization
0 likes · 12 min read
Edge Intelligence for Intelligent Video Cover Recommendation
DeWu Technology
DeWu Technology
Feb 10, 2025 · Operations

White‑Screen Operations Platform for Multi‑Cloud Kubernetes Middleware Management

The White‑Screen Operations Platform unifies multi‑cloud Kubernetes cluster and middleware management—automating Kafka, Elasticsearch, node, PV, and YAML tasks through a visual UI, eliminating fragmented command‑line scripts, cutting operation times from hours to minutes, standardizing processes, providing auditability, and delivering significant cost savings while scaling for future Kubernetes resources.

AutomationKubernetesMiddleware
0 likes · 20 min read
White‑Screen Operations Platform for Multi‑Cloud Kubernetes Middleware Management
DeWu Technology
DeWu Technology
Jan 22, 2025 · Operations

How We Cut Video Detection Memory Usage by 78% with WebAssembly and WorkerFS

This article details the challenges of video corruption detection on a creator platform, analyzes existing server‑side and client‑side approaches, and presents a WebAssembly‑based solution using ffmpeg, WorkerFS, and memory‑growth tuning that reduces memory consumption by up to 78% while speeding up large‑file processing.

PerformanceVideo processingWeb Worker
0 likes · 13 min read
How We Cut Video Detection Memory Usage by 78% with WebAssembly and WorkerFS
DeWu Technology
DeWu Technology
Jan 20, 2025 · Backend Development

Migrating Observability Compute Layer from Java to Rust: Ownership, Concurrency, Deployment, and Monitoring

The article details how moving a high‑throughput observability compute layer from Java to Rust—leveraging Rust’s ownership, zero‑cost async, and static binary deployment—cut memory usage by roughly 68%, CPU consumption by 40%, while outlining monitoring setup, concurrency model, and the steep learning‑curve challenges.

Rustconcurrencydeployment
0 likes · 18 min read
Migrating Observability Compute Layer from Java to Rust: Ownership, Concurrency, Deployment, and Monitoring
DeWu Technology
DeWu Technology
Jan 13, 2025 · Artificial Intelligence

Unlock GPU Power: A Hands‑On Triton Guide for Vector Add, Matrix Multiply & RoPE

This article introduces Triton—a Python‑based GPU programming language—covers essential GPU architecture, walks through practical kernels for vector addition, matrix multiplication, and rotary position encoding, compares performance with PyTorch, and provides debugging tips for high‑performance deep‑learning workloads.

CUDAGPU programmingKernel Development
0 likes · 22 min read
Unlock GPU Power: A Hands‑On Triton Guide for Vector Add, Matrix Multiply & RoPE
DeWu Technology
DeWu Technology
Jan 6, 2025 · Artificial Intelligence

Design and Implementation of a Retrieval‑Augmented Generation (RAG) Answering Assistant for the Dewu Open Platform

The paper describes building a Retrieval‑Augmented Generation assistant for the Dewu Open Platform that leverages GPT‑4o‑mini, OpenAI embeddings, Milvus vector store, and LangChain.js to semantically retrieve API documentation, structure user queries, and generate accurate, JSON‑formatted answers, thereby reducing manual support and hallucinations.

AILLMLangChain
0 likes · 28 min read
Design and Implementation of a Retrieval‑Augmented Generation (RAG) Answering Assistant for the Dewu Open Platform
DeWu Technology
DeWu Technology
Dec 25, 2024 · Artificial Intelligence

AI-Powered Intelligent Coding: Product Evolution, Technical Advances, and Future Outlook

AI‑powered coding tools—from JetBrains’ free IDEs to VSCode extensions like Cursor and end‑to‑end web platforms—are rapidly evolving, offering code continuation, AI‑driven Q&A, multi‑file editing, and chat interfaces, while advances in context handling, caching, LLM fine‑tuning, and speculative decoding promise faster, more integrated development workflows and a future where IDEs become chat‑centric assistants that streamline debugging, deployment, and junior developer support.

AI codingIDE IntegrationIntelligent code completion
0 likes · 18 min read
AI-Powered Intelligent Coding: Product Evolution, Technical Advances, and Future Outlook
DeWu Technology
DeWu Technology
Dec 23, 2024 · Fundamentals

Java Null Reference Handling Principles

Java’s ubiquitous NullPointerException stems from Tony Hoare’s 1965 introduction of the null reference—a design he later called his ‘billion-dollar mistake’—and the JVM mitigates its cost by forgoing proactive checks, instead relying on OS signals like SIGSEGV to detect nulls and throw the exception only when they actually occur.

JVMJavaexception-handling
0 likes · 18 min read
Java Null Reference Handling Principles
DeWu Technology
DeWu Technology
Dec 11, 2024 · Artificial Intelligence

MLOps Practices for Improving Order Fulfillment Timeliness

The supply‑chain team leveraged core MLOps practices—versioning, testing, automated reproducible pipelines, deployment monitoring, and documentation—to eliminate data leakage, ensure online consistency, and accelerate model upgrades, using traffic‑replay, FAAS‑based decoupling, and approval workflows, ultimately cutting order‑fulfillment times, reducing costs, and enabling business teams to adopt reliable AI models at scale.

AutomationData VersioningMLOps
0 likes · 18 min read
MLOps Practices for Improving Order Fulfillment Timeliness
DeWu Technology
DeWu Technology
Dec 9, 2024 · Fundamentals

Deadlock Caused by Do-While Loop in Plugin

A mobile app deadlock was traced to a do‑while loop introduced by a weaver plugin that concurrently copied method nodes, causing ASM label‑node mismatches; adding thread synchronization to the method‑cloning process resolved the issue and underscores the concurrency risks of bytecode instrumentation.

DeadlockR8Weaver
0 likes · 10 min read
Deadlock Caused by Do-While Loop in Plugin