2026 人工智能发展趋势:算力、Agent、边缘闭环与绿色治理的拐点
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基于 MIT Technology Review、IDC、McKinsey、NVIDIA GTC、Reuters 等权威来源的系统性综述:2026 年 AI 将在算力与能效、智能体与多模态视频、边缘与行业闭环、治理与绿色 AI 四条主线加速成熟,走向“环境智能层 + 个人/企业 OS”。
基于 MIT Technology Review、IDC、McKinsey、NVIDIA GTC、Reuters 等权威来源的系统性综述:2026 年 AI 将在算力与能效、智能体与多模态视频、边缘与行业闭环、治理与绿色 AI 四条主线加速成熟,走向“环境智能层 + 个人/企业 OS”。
An SCI-style exposition of AI’s end-state and near-term transformation: a dual-layer architecture of an Environmentalized Intelligence Layer plus a Personal OS, grounded in structured world models, neuro-symbolic fusion, embodied loops, and trustworthy governance.
Upgrade prompts into interaction protocols: roles, state, tools, memory, and evaluation loops.
From product to platform: developer network effects, supply‑chain coordination, and governed openness.
From assistance to collaboration: multimodal fusion of imaging–pathology–clinical data and workflow redesign.