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AsiaInfo Technology: New Tech Exploration

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Latest from AsiaInfo Technology: New Tech Exploration

96 recent articles

AsiaInfo Technology: New Tech Exploration

Aug 21, 2026 · Industry Insights

Exploring Industrial Physical Agents: Architecture, Edge AI, and Scalable Deployment

This article analyzes the adaptability bottlenecks of traditional industrial automation and proposes an Industrial Physical Agent (IPA) reference architecture that integrates event‑gated perception, embodied memory, edge VLA inference, execution decoupling, and cross‑machine memory sharing, outlining a practical roadmap from proof‑of‑concept to large‑scale deployment.

Embodied MemoryEvent‑Gated PerceptionVLA Inference

0 likes · 24 min read

Exploring Industrial Physical Agents: Architecture, Edge AI, and Scalable Deployment

AsiaInfo Technology: New Tech Exploration

Aug 14, 2026 · Artificial Intelligence

Beyond 1.6×: Boosting Per‑Capita Demand Throughput in the AI Coding Era

Even though more than 90% of code is now generated by AI, teams only see a 1.6‑fold rise in per‑person demand throughput, revealing that the real bottleneck has shifted from coding to end‑to‑end delivery; the article analyses four key variables, presents a quantitative model, and offers concrete practices—prototype‑driven development, Spec‑Driven Development, Harness infrastructure, and a unified collaboration path—to lift organizational R&D efficiency.

AI codingDemand ThroughputHarness

0 likes · 26 min read

Beyond 1.6×: Boosting Per‑Capita Demand Throughput in the AI Coding Era

AsiaInfo Technology: New Tech Exploration

Aug 7, 2026 · Artificial Intelligence

World Action Models: VLA + World Model‑Driven Paradigm Shift for Physical AI Post‑Training

The article analyzes the fundamental bottleneck of current Physical AI post‑training, where VLA models lack foresight, and presents World Action Models (WAM) – both Cascaded and Joint architectures – along with four post‑training pathways that combine evaluation and imagination to break the data‑collection loop.

Imitation LearningPhysical AIVLA

0 likes · 18 min read

World Action Models: VLA + World Model‑Driven Paradigm Shift for Physical AI Post‑Training

AsiaInfo Technology: New Tech Exploration

Jul 31, 2026 · Industry Insights

Decision‑Centric Scenario Ontology Design: A Six‑Step Methodology for Fast POC Delivery

The article presents a decision‑centric scenario ontology design method that contrasts domain and scenario ontologies, outlines a standardized six‑step process—from scene definition to effect validation—and demonstrates its rapid POC delivery and business impact through an insurance lead‑marketing case study.

Decision SupportEnterprise Digital TransformationOntology

0 likes · 15 min read

Decision‑Centric Scenario Ontology Design: A Six‑Step Methodology for Fast POC Delivery

AsiaInfo Technology: New Tech Exploration

Jul 24, 2026 · Artificial Intelligence

How NVIDIA Cosmos 3 Powers Physical AI Data Services for Embodied Intelligence

The article examines the bottleneck of training data for embodied AI, analyzes the technical innovations of NVIDIA’s Cosmos 3 multimodal physical AI world model, evaluates its capabilities with the WorldArena benchmark, and discusses practical deployment paths, challenges, and future prospects for physical AI data engines.

Cosmos 3Physical AIbenchmark

0 likes · 38 min read

How NVIDIA Cosmos 3 Powers Physical AI Data Services for Embodied Intelligence

AsiaInfo Technology: New Tech Exploration

Jun 26, 2026 · Artificial Intelligence

Component-Based Engineering (CBE) Agents: From Single-Task AI to Systematic Project Delivery

Current AI agents excel at isolated tool calls but cannot reliably deliver complex projects; this article analyzes their limitations, introduces a Component-Based Engineering (CBE) paradigm with a fixed meta‑model for formal problem modeling and automated solving, enabling systematic, verifiable, outcome‑based AI agent deployments.

AI AgentsComponent-Based EngineeringConstraint Solving

0 likes · 20 min read

Component-Based Engineering (CBE) Agents: From Single-Task AI to Systematic Project Delivery

AsiaInfo Technology: New Tech Exploration

Jun 18, 2026 · Artificial Intelligence

How AI Agents Enable Autonomous 5G Networks: From Architecture to Real‑World Validation

The article presents a peer‑reviewed study that details an AI‑agent reference architecture for autonomous networks, demonstrates its first real‑world 5G deployment, and reports sub‑10 ms closed‑loop control, a 4 % eMBB throughput boost and an 85 % URLLC error‑rate reduction, outlining a concrete path toward L4‑level network self‑governance.

5GAI AgentsKnowledge Graph

0 likes · 14 min read

How AI Agents Enable Autonomous 5G Networks: From Architecture to Real‑World Validation

AsiaInfo Technology: New Tech Exploration

May 26, 2026 · Industry Insights

New Service Models for Satellite Internet in the Resource‑Regeneration Era

With 3GPP NTN standards finalized and direct‑to‑satellite phone capabilities maturing, satellite internet is shifting from a bandwidth‑selling model to scenario‑driven, deterministic services that integrate with terrestrial networks, creating new business paradigms and high‑value use cases for billions of mobile devices.

IoTMobile ConnectivityNTN

0 likes · 25 min read

New Service Models for Satellite Internet in the Resource‑Regeneration Era

AsiaInfo Technology: New Tech Exploration

May 19, 2026 · Artificial Intelligence

Exploring the Two-Factory Model for Agent Internet Value Operations

The article proposes a two‑factory architecture—Token Factory and Agent Factory—to enable telecom operators to transition from traditional resource pipelines to value‑centric operations in the emerging Internet of Agents, introducing SCU and VPT metrics, a four‑quadrant E‑R‑G‑D model, and staged deployment pathways.

AI AgentsSCUTelecom operators

0 likes · 31 min read

Exploring the Two-Factory Model for Agent Internet Value Operations

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