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AsiaInfo Technology: New Tech Exploration

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Latest from AsiaInfo Technology: New Tech Exploration

89 recent articles

AsiaInfo Technology: New Tech Exploration

Jan 6, 2026 · Industry Insights

Apache Paimon: Boosting Real-Time Data Lakes for Fraud Detection & Manufacturing

This article examines Apache Paimon’s innovative lakehouse architecture, detailing its LSM‑Tree storage, flexible merge engine, and multi‑engine integration, and showcases two real‑world deployments—an operator’s real‑time fraud‑prevention system and a manufacturing firm’s unified data platform—highlighting performance gains and cost reductions.

Apache PaimonCase studyLakehouse

0 likes · 15 min read

Apache Paimon: Boosting Real-Time Data Lakes for Fraud Detection & Manufacturing

AsiaInfo Technology: New Tech Exploration

Dec 30, 2025 · Artificial Intelligence

How Dataset Distillation Shrinks Training Data Without Losing Accuracy

This article provides a comprehensive review of dataset distillation, explaining its motivation, core concepts, major algorithmic families, evaluation criteria, and practical applications such as continual learning, federated learning, neural architecture search, and privacy‑preserving AI.

AI efficiencyDataset DistillationDistribution Matching

0 likes · 25 min read

How Dataset Distillation Shrinks Training Data Without Losing Accuracy

AsiaInfo Technology: New Tech Exploration

Dec 22, 2025 · Artificial Intelligence

How Advanced RAG Techniques Are Redefining Enterprise Knowledge Services

This article examines four cutting‑edge Retrieval‑Augmented Generation frameworks—Adaptive RAG, Agentic RAG, OG‑RAG, and OAG—detailing their definitions, core mechanisms, performance gains, and practical selection guidance for complex enterprise scenarios, while highlighting future research directions.

Enterprise KnowledgeLLMRetrieval-Augmented Generation

0 likes · 21 min read

How Advanced RAG Techniques Are Redefining Enterprise Knowledge Services

AsiaInfo Technology: New Tech Exploration

Dec 2, 2025 · Artificial Intelligence

How LLMs Can Revolutionize Test Case Generation: Methods, Benefits, and Challenges

This article examines the shortcomings of manual test case creation, explains how large language models (LLMs) can dramatically improve efficiency, coverage, consistency, and knowledge sharing in software testing, outlines the key capabilities required, and presents a detailed end‑to‑end solution with practical steps, evaluation metrics, and future outlook.

AI automationKnowledge BaseLLM

0 likes · 20 min read

How LLMs Can Revolutionize Test Case Generation: Methods, Benefits, and Challenges

AsiaInfo Technology: New Tech Exploration

Nov 28, 2025 · Artificial Intelligence

Boosting 5G Complaint Intent Detection with Large-Model-Enhanced Few-Shot Learning

This paper presents a collaborative framework where a large language model generates high‑quality synthetic samples to augment a lightweight model, dramatically improving few‑shot user‑complaint intent recognition in 5G networks, achieving a 21% boost for rare categories and a 9% overall accuracy gain.

complaint intent detectiondata augmentationfew-shot learning

0 likes · 27 min read

Boosting 5G Complaint Intent Detection with Large-Model-Enhanced Few-Shot Learning

AsiaInfo Technology: New Tech Exploration

Nov 10, 2025 · Industry Insights

How a Generative AI‑Powered Normative Analysis Framework Boosted Decision Efficiency 20× in a Conversational BI Product

This case study examines a normative analysis framework that combines operations research, statistical learning, and large language models to automate end‑to‑end decision making in a ChatBI product, demonstrating up to 20‑fold efficiency gains, cost reductions, and enhanced interpretability across structured optimization and semi‑structured pricing scenarios.

ChatBIDecision Intelligencenormative analysis

0 likes · 20 min read

How a Generative AI‑Powered Normative Analysis Framework Boosted Decision Efficiency 20× in a Conversational BI Product

AsiaInfo Technology: New Tech Exploration

Nov 4, 2025 · Artificial Intelligence

How Multimodal Large Models Are Revolutionizing Video Analysis

This article examines the evolution from single‑frame video analysis to multimodal large models, detailing their architecture, optimization techniques, experimental validation on edge devices, and practical scenarios, while highlighting current limitations and future directions for AI‑driven video understanding.

AILarge Modelscomputer vision

0 likes · 20 min read

How Multimodal Large Models Are Revolutionizing Video Analysis

AsiaInfo Technology: New Tech Exploration

Oct 28, 2025 · Industry Insights

How Multimodal LLMs Are Transforming GUI Automation: A Comprehensive Survey

This article surveys the evolution of GUI automation from rule‑based scripts to multimodal large‑model‑driven agents, detailing core architectures, key components, application scenarios, current challenges, and future research directions for intelligent GUI agents.

GUI automationHuman-Computer InteractionIndustry Survey

0 likes · 19 min read

How Multimodal LLMs Are Transforming GUI Automation: A Comprehensive Survey

AsiaInfo Technology: New Tech Exploration

Oct 17, 2025 · Industry Insights

How Semantic Governance Fuels AI-Ready Data Management: A Practical Roadmap

This article outlines a comprehensive, three‑stage implementation framework for semantic governance, details the essential supporting technologies, proposes new organizational roles and collaborative mechanisms, and explores future trends such as agent integration and LLM‑driven ontology evolution to empower AI‑centric enterprise data strategies.

AIKnowledge Graphenterprise transformation

0 likes · 26 min read

How Semantic Governance Fuels AI-Ready Data Management: A Practical Roadmap

AsiaInfo Technology: New Tech Exploration

Oct 10, 2025 · Artificial Intelligence

How Ontologies Boost Large Language Models: A Comprehensive Review

This review examines how formal knowledge representations (ontologies) can be integrated with large language models to enhance reasoning, reduce hallucinations, and improve factual reliability, outlining three roles—information provider, reasoner, validator—while analyzing recent frameworks, open‑source projects, and future research challenges.

AIRAGknowledge integration

0 likes · 29 min read

How Ontologies Boost Large Language Models: A Comprehensive Review