Author

AsiaInfo Technology: New Tech Exploration

AsiaInfo's cutting‑edge ICT viewpoints and industry insights, featuring its latest technology and product case studies.

104

Articles

Likes

676

Views

Comments

Latest from AsiaInfo Technology: New Tech Exploration

100 recent articles max

AsiaInfo Technology: New Tech Exploration

Apr 17, 2026 · Industry Insights

How Telecoms Can Build AI Token Moats for Sustainable Growth

This article analyzes the AI token ecosystem across compute, model, and scenario layers, identifies knowledge and relationship barriers as the core competitive moat for telecom operators, and proposes asset‑driven strategies—including industry knowledge graphs, private data flywheels, integration maps, and success knowledge bases—to achieve compounding growth in the Agent era.

AICompounding GrowthStrategic Assets

0 likes · 12 min read

How Telecoms Can Build AI Token Moats for Sustainable Growth

AsiaInfo Technology: New Tech Exploration

Apr 14, 2026 · Industry Insights

How AI Token Economics Redefine Telecom Strategy: The Three‑Layer Token Model (Part 1)

This article analyzes the emerging three‑layer AI Token ecosystem—compute, model, and scenario tokens—and explains how telecom operators can leverage scenario Token providers to translate generic AI capabilities into industry‑specific, revenue‑generating services, reshaping their strategic positioning in the AI era.

AIScenario TokenToken economy

0 likes · 10 min read

How AI Token Economics Redefine Telecom Strategy: The Three‑Layer Token Model (Part 1)

AsiaInfo Technology: New Tech Exploration

Apr 9, 2026 · Artificial Intelligence

How OAG Shrinks a Million‑Token Ontology to 11% While Keeping LLM Reasoning Power

This article presents the OAG (Ontology‑Augmented Generation) architecture, which uses a three‑stage pipeline of semantic filtering, graph‑based path pruning, and format conversion to compress enterprise‑scale ontologies by up to 89% of tokens while limiting inference accuracy loss to around 3% and adding only ~240 ms latency.

AI AgentsGraph AlgorithmsLLM

0 likes · 21 min read

How OAG Shrinks a Million‑Token Ontology to 11% While Keeping LLM Reasoning Power

AsiaInfo Technology: New Tech Exploration

Apr 1, 2026 · Industry Insights

How Harness Engineering Is Redefining Industrial AI Agents

This article analyzes the emergence of Harness Engineering as the third‑generation AI engineering paradigm, explains its three‑layer Industrial Harness architecture, identifies three failure modes of long‑running industrial agents, and validates the approach with quantitative case studies and a roadmap for Physical AI OS deployment.

AI engineeringHarness engineeringLong-running Tasks

0 likes · 28 min read

How Harness Engineering Is Redefining Industrial AI Agents

AsiaInfo Technology: New Tech Exploration

Jan 16, 2026 · Artificial Intelligence

How to Evaluate Ontology Quality: Metrics, Methods, and Tools

This article surveys ontology quality evaluation by outlining key metrics such as consistency, completeness, and coverage, and reviewing five major assessment approaches—including corpus‑based, gold‑standard, metric‑driven, rule‑based, and application‑driven methods—while highlighting representative tools, open‑source implementations, and future research challenges.

Large Language ModelsSemantic Webevaluation methods

0 likes · 20 min read

How to Evaluate Ontology Quality: Metrics, Methods, and Tools

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 PaimonLakehouseReal-time Data Lake

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.

Agentic AIEnterprise KnowledgeLLM

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.

Data AugmentationFew-Shot LearningKnowledge Distillation

0 likes · 27 min read

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