2025/04 中部小小聚 - 實體場次
活動詳情
- 小聚日期：04 月 10 日（四）
- 小聚時間：19:00 - 21:00
- 小聚地點：逢甲大學資訊電機館B29
活動議程
- 18:45-19:00 (15min) 會眾報到時間、閒聊
- 19:00-19:10（10min）開場介紹
- 19:10-20:20（70min）Session 1: 【GTC 2025 NVIDIA 執行長黃仁勳主題演講】中文導讀會
- 20:20-20:30 (10min) Session 1 Q&A
- 20:30-20:50 (20min) Session 2: Bridging IoT and AI: Building a Scalable Environmental Insights Pipeline with Amazon Bedrock
- 20:50-21:00 (10min）Q&A / 問卷回饋
- 21:00 結束【場復】
講者與主題分享
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Session 1: 【GTC 2025 NVIDIA 執行長黃仁勳主題演講】中文導讀會
- 【講者】
- 開場引言: NVIDIA 亞太區企業開發者行銷經理 林靜宜
- 中文導讀: NVIDIA校園教育推廣夥伴 機器人王國資深講師 徐豐智
- Q&A 問題交流: NVIDIA Taiwan新創及創投關係經理暨機器人技術專家 李昇達博士，Dr. ShengTa Lee
- 【簡介】NVIDIA 2025 GTC 實體科技分享會，中文導讀 NVIDIA 執行長黃仁勳 (Jensen Huang) 的主題演講，特別針對AWS使用者社群分享 NVIDIA 的AI及加速運算平台，如何推動新一代AI技術、機器人、數位孿生、雲端技術、醫療、科學和永續運算的下一波浪潮。
- 【講者】
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Session 2: Bridging IoT and AI: Building a Scalable Environmental Insights Pipeline with Amazon Bedrock
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【講者】Renaldi Gondosubroto Renaldi is an accomplished Software Engineer and a developer advocate in the tech community. With a wealth of experience in developing Artificial Intelligence solutions, he has significant contributions to numerous companies and communities. Outside of the industry, he is active in the academia community, having his research focused on generative AI and machine learning. He is also an author; having written Amazon Bedrock in Action and Internet of Things from Scratch and an international speaker over the past six years, having spoken at over 40 events and conferences internationally, along with having led a chunk of workshops. He is also currently an AWS Subject Matter Expert (SME) for its Professional and Specialty Certifications and hold all 13 AWS certifications, along with being a Microsoft Certified Trainer and holding all 22 Microsoft Azure Certifications. He aims to build open-source solutions which can both help people achieve more value in what they do and promote best practices for fellow developers.
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【簡介】 This talk explores an end-to-end solution that connects environmental sensor data to AI analytics on AWS with the assistance of Amazon Bedrock. The demonstration features a programmable environmental sensor that continuously generates temperature, humidity, and CO₂ readings which emulates the behavior of field-deployed devices to showcase how real-time data flows through the system. Attendees will see how data is securely transmitted via MQTT to AWS IoT Core, stored efficiently in DynamoDB, and then processed by AWS Lambda to calculate key averages. These insights are further enhanced with Amazon Bedrock, which provides actionable interpretations and recommendations. Finally, a user-friendly web interface, powered by API Gateway and hosted on Amazon S3, makes these insights easily accessible.
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參加社群活動抽好禮
- 本次社群參與者抽限量NVIDIA 精美贈品(NVIDIA Training上課券 ＆ T-shirt)
- 須先由此活動專屬連結(https://nvda.ws/3S9V3pI) 報名 GTC 2025 選擇任一議程加入 "My Schedule"，以及參加本場中文導讀活動
- 建議必看精彩議程：
- 必看: 爐邊座談，”A New Era of Generalist Robotics: The Rise of Humanoids” , 一個新的機器人世代已經崛起！ChatGPT機器人即將面市，人形機器人將成為世界上迄今為止規模最大的通用機器人部署之一，一起來聽聽全球領先人形機器人公司的領導者，談論如何形塑未來，以及基礎模型、模擬科技和先進運算如何協力達成夢想。|議程代號 [S72543]
- 必看: 代理AI焦點論壇 －Harnessing AI Agents for Enterprise Success: Insights From AI Experts， AI 代理的開發和部署應用已成為企業 AI 轉型的關鍵，包括 Meta、Microsoft 、Accenture 等卓越企業高階副總裁們談談如何駕馭AI 代理、擴大及安全部署的成功之道。| 議程代號 [S72355]。
- 必看: 代理AI焦點論壇 －Harnessing AI Agents for Enterprise Success: Insights From AI Experts， AI 代理的開發和部署應用已成為企業 AI 轉型的關鍵，包括 Meta、Microsoft 、Accenture 等卓越企業高階副總裁們談談如何駕馭AI 代理、擴大及安全部署的成功之道。| 議程代號 [S72355]。
- 必看：實體 AI 焦點論壇－Physical AI for the Next Frontier of Industrial Digitalization，實體AI是下一個工業數位化世代的前驅技術，包括微軟、西門子、Agility Robotics、工業富聯等領先大廠執行長、技術長等的焦點座談。| 議程代號 [S73232]。
- 必看：生成式 AI 焦點－Unlocking Generative AI's Full Potential: Expert Insights for Rapid Innovation and Scale，全球卓越企業包含eBay, Visa, Lockheed Martin必治妥施貴寶等資深領導者專業分享，如何藉生成式 AI大潛力擴大企業創新及規模。|議程代號 [S72363]
- 必看：爐邊座談－大語言模型，Advance In-Car User Experience with Hybrid LLM Architecture，包括Jaguar Land Rover, Renault 等車廠談混合語言模型的駕駛使用經驗應用。| 議程代號 [S72742]
- 必看: 台灣精選的中文導讀有8場，內容涵蓋最熱門的代理AI(Agentic AI) 的建構、視覺代理AI應用、實體AI(Physical AI)的醫學應用、生成式AI (Generative AI)/RAG的企業應用轉型、量子超級電腦、AI網路的潛力、次世代資料中心的大規模運算等精彩內容。
徵求講者 / 志工
徵求講者，各式 AWS 相關內容分享，不論是
- 各種技術（Compute、Storage、ML、Data Analytics、Low-code、Media, etc...）、
- 各種產業（科技、傳產、金融、製造、服務、貿易, etc...）、
- 各種面向（提升效率、系統架構、技術管理、組織營運, etc...）
都很適合交流，5min/10min/30min/40min 時間長度可以彈性調整。
或對於社群志工參與有興趣，歡迎隨時找我們聊聊 :)