[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"tag-on-device-ai":3},{"tag":4,"articles":11},{"id":5,"name":6,"slug":7,"article_count":8,"description_zh":9,"description_en":10},"dcc331c5-33f1-4f0c-95a3-19564116eb8f","on-device AI","on-device-ai",3,"裝置端 AI 指把推論放在手機、筆電、穿戴或邊緣裝置上執行，減少雲端依賴、延遲與資料外送。它牽涉小型語言模型、NPU、隱私保護與離線體驗，也正改變 Siri、行動助理與終端應用的設計方式。","On-device AI runs inference locally on phones, laptops, wearables, or edge devices instead of sending data to the cloud. It matters for latency, privacy, offline use, and hardware design, with small language models, NPUs, and assistants like Siri driving the shift.",[12],{"id":13,"slug":14,"title":15,"summary":16,"category":17,"image_url":18,"cover_image":18,"language":19,"created_at":20},"614d7c18-aa64-4f39-8708-a0061ba7457a","apple-50-how-it-can-still-win-in-ai-zh","Apple 50歲後，怎麼在 AI 反攻","Apple 50歲了，AI 卻還在追趕。它押注裝置端 AI 與 Gemini 版 Siri 重啟，想在隱私、硬體與整合上找回主場。","industry","https:\u002F\u002Fxxdpdyhzhpamafnrdkyq.supabase.co\u002Fstorage\u002Fv1\u002Fobject\u002Fpublic\u002Fcovers\u002Finline-1775630411818-9aj4.png","zh","2026-04-08T06:39:43.20411+00:00"]