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 | 297 | Founded | 4 years ago |
|---|---|---|---|---|---|
| Language |  Korean | Number of Listeners | Category | Technology |
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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
本集延續上集對泛科學 PanSci 轉型的歷程，鄭國威知識長進一步分享團隊如何從幕後內容製作走向幕前創作，讓管理層親自參與內容傳播，強化品牌辨識度。泛科學在新冠疫情期間影音需求快速成長的背景下，重新調整YouTube節目形式與內容節奏，透過平台數據與觀眾回饋，持續優化選題與敘事方式，以影音為核心、跨平台延伸的多媒體內容模式，讓生硬的科學知識不再僅存於長篇文章之中，而是以更輕鬆、易理解的方式觸及不同世代的閱聽眾。邀請您一同收聽，了解泛科學在多媒體時代下的轉型與創新經營之道。
主持人：沈祐謙／資策... more
本集專訪泛科學 PanSci 知識長鄭國威，分享疫情前後挑戰新媒體經營模式的經驗。面對閱聽眾轉向影音浪潮，泛科學從早期 YouTube 動畫與講座紀錄輔助內容起步，進而將影音轉為品牌主體，以即時、互動形式突破文字權威框架，拉近專家與觀眾距離。同時利用平台數據分析與內容策略調整，發展一源多用的跨平台傳播模式，讓科學內容不限單一社群，觸及更多非主動科普受眾。歡迎聆聽本集，了解泛科學如何在競爭激烈的新媒體環境中，以數據導向與影音轉型策略，走出台灣原生科學品牌的新傳播路徑。
主持人：沈祐謙／資策會MI... more
隨著大型語言模型參數數量持續成長、資料處理量大幅增加，整體AI運算效能的發揮已不再只是單一晶片效能的線性提升，而是取決於整體運算環境能否有效支援。如何在可控能耗、成本與部署條件下將整體AI運算架構能力極大化，正是當前半導體產業所面臨的挑戰。在此情況下，對整體系統運作條件的持續掌握與調校能力，並使其最佳化已成為半導體業者在高階AI運算市場中持續參與競爭的重要核心。
本集撰稿者：周明德 / 資深產業分析師
專長領域：化合物半導體
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... more
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科技開麥拉 launched 4 years ago and published 297 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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