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AsiaInfo Technology: New Tech Exploration

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Latest from AsiaInfo Technology: New Tech Exploration

87 recent articles

AsiaInfo Technology: New Tech Exploration

May 12, 2026 · Artificial Intelligence

Silicon Brain: Neural Connections, Symbolic Reasoning, and Reinforcement Learning in AGI

This article analyses DeepMind’s three‑pronged AGI paradigm—combining neural networks, symbolic systems, and reinforcement learning—by dissecting AlphaGo, AlphaFold 2, Gemini, and the Genie‑Sima loop, mapping the biological inspiration, outlining engineering and safety challenges, and proposing research directions for large‑scale deployment in communication scenarios.

AGIDeepMindEngineering Challenges

0 likes · 21 min read

Silicon Brain: Neural Connections, Symbolic Reasoning, and Reinforcement Learning in AGI

AsiaInfo Technology: New Tech Exploration

May 8, 2026 · Artificial Intelligence

How Simulation Synthetic Data Powers Industrial Embodied AI: Key Paths and Validation

The article analyzes how high‑cost, low‑efficiency real‑world data collection hampers industrial embodied AI and demonstrates that simulation‑generated synthetic data, validated with ABB's 3C assembly line, can boost task success from near zero to over 60% while cutting data‑prep time by about 85%, outlining four critical technical pathways and future challenges.

ABBEmbodied AIHarness architecture

0 likes · 30 min read

How Simulation Synthetic Data Powers Industrial Embodied AI: Key Paths and Validation

AsiaInfo Technology: New Tech Exploration

Apr 23, 2026 · Artificial Intelligence

From Transparent Forwarding to Space AI: Analyzing Satellite‑borne AI Base Stations

The article examines the limitations of traditional transparent‑forwarding satellite links, proposes a dual‑engine "communication + AI" architecture for satellite‑borne AI base stations, explores resource‑pooling, space‑app‑store micro‑services, and real‑world use cases in wildfire detection, maritime navigation and renewable‑energy grid management, and outlines the path toward 6G‑enabled space‑ground computing networks.

6GAI base stationEdge AI

0 likes · 23 min read

From Transparent Forwarding to Space AI: Analyzing Satellite‑borne AI Base Stations

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 GrowthIndustry Insight

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 agentsLLMgraph algorithms

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 EngineeringIndustrial Agents

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.

Knowledge Engineeringevaluation methodslarge language models

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 PaimonBig DataLakehouse

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