科技開麥拉
資策會產業情報研究所MIC資策會產業情報研究所（MIC）專精於ICT資通訊領域研究長達30餘年，集結產政學研各界資源，研究範疇涵蓋人工智慧、數位轉型、智慧製造、智慧醫療、金融科技、資訊安全、電動車、電子商務、行動通訊、半導體及前瞻研究…等重要領域，提供即時的產業決策情報與顧問服務。 為協助台灣企業菁英與科技人才迎接新世紀的挑戰，特別推出MIC Podcast【科技開麥拉】閱聽服務，即時推播最新產業評析與科技趨勢，滿足您快速汲取新知的需求與渴望。 Powered by Firstory Hosting
| Publishes | Weekly | Episodes | 300 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Language |  Korean | Number of Listeners | Category | Technology |
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半導體產業是一條全球分工的生態鏈，而台灣則在晶圓製造與先進封裝上扮演核心角色，並且在最先進邏輯製程與量產密度方面位居全球關鍵節點。面對外部環境的波動、關稅的不確定因素，當台灣持續保有研發中樞與最大量產規模下，並在設備、材料與封裝技術上深化自主能力的同時推進生態系整合能力，從研發、試產、量產、設備材料協同與人才培育整合為一體，此或將成為未來十年最具決定性的競爭優勢來源。
本集撰稿者：彭茂榮 / 產業顧問兼主任
專長領域：半導體產業暨市場趨勢
推薦產業研究資料庫：人工智慧、半導體產業、應用... more
本集為泛科學訪談的最終回，鄭國威知識長進一步分享如何將內容方法論從科學領域複製至旅遊、人文與AI教學等不同主題，透過多頻道經營與跨平台布局，逐步建立可擴張的內容生態系，同時深入探討在AI快速進化的背景下，內容產製流程如何被重塑，及提升效率與品質。知識長強調在技術門檻降低的當下，「信任」與「創作者本身」反而成為更關鍵的核心，泛科學未來也將持續優化內容形式，並嘗試以台灣內容拓展至國際市場。歡迎收聽本集節目，理解多媒體內容產業在AI時代下的轉型關鍵與發展方向。
主持人：沈祐謙／資策會MIC資深產... more
本集資策會MIC產業分析師帶您一同直擊CES 2026展會，今年主題聚焦於「智慧轉型」，觀察AI如何進一步滲透各行各業，並透過硬體創新重新定義人與科技的互動方式。從整體趨勢來看，智慧終端正朝向介面逐漸隱形化、裝置更貼近使用情境，以及 AI工具從被動使用轉為主動協助的代理角色發展。同時，產業競爭也逐漸從單一裝置性能，轉向跨設備整合能力與生態系建立，這也顯示未來智慧終端的競爭關鍵，將不再只是硬體規格，而是如何透過AI串聯不同設備與使用情境，打造更連續且更加生活化、個人化的智慧體驗。
本集講者：... more
早期AI投資以模型訓練為主，資本支出多集中於GPU採購與短期容量擴充；但近兩年雲端業者的資本支出編列結構已明顯改變，投資重心著重於資料中心、電力、散熱與網路等運算設施，顯示算力需求已被內化為核心營運條件，而非可被延後或可被調整的選項。同時隨著生成式AI應用逐步由模型訓練走向實際部署，推論需求正快速取代訓練需求，也因此成為算力消耗與成本結構中的主要來源。
本集撰稿者：楊可歆 / 資深產業分析師
專長領域：IC設計、IC製造
推薦產業研究資料庫：人工智慧、半導體產業、應用IC與關鍵零組件、... more
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Apple Podcasts | #118 |  Taiwan/Technology |
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科技開麥拉 launched 4 years ago and published 300 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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