國立政治大學 資訊學院

● 加拿大海外短期授課@UBC課程與宿舍（7/11 ~ 7/19） Day 1：Intro. of Social Media Data Types and the Basics of Statistics              (Borgatti et al., 2024, Ch 1) (R & S, 2023, Ch 3) Day 2 @ UBC：Exploratory data analysis procedures                             Applied statistical case reading                             (Borgatti et al., 2024, Ch 2,4, 17) (R & S, 2023, Ch 4, 8) Day 3 @ UBC：Research design, collect and clean data                             Hypothesis formulation and validation exercises, group activities, and case studies                             (Borgatti et al., 2024, Ch 3) (R & K, 2019, Ch 5) Day 4 @ UBC：Introduction to statistical tools and programming syntax                             Statistical modeling and inferences                             (Borgatti et al., 2024, Ch 5) (R & S, 2023, Ch 9) Day 5 @ UBC：Understanding machine-learning concepts                              Visualization and interpretation of data analytical results, case studies, group activities                              (Borgatti et al., 2024, Ch 7) Day 6 @ UBC：Understanding foundational concepts of high-dimensional modeling                             Model evaluation, hand-on practices, group activities, case studies                             (See “Course Related Links” below) Day 7：Concluding Remarks and Ind. Reflection & Presentation 說明會簡報 說明會影音 暑期優惠政大學生專案 1650 加幣 + 12%稅 = 1848 加幣 = 約42,500台幣 (含UBC全天課程+課後導覽+ UBC宿舍+惠斯樂遊玩+三餐) +直飛來回 55000台幣（機票與簽證自理，可提供指定旅行社) ※ 有興趣參加請直接聯絡謝佩璇老師 hsiehph@g.nccu.edu.tw 索取報名表單以及 $1848 匯款帳號。(匯款給謝老師代收的台幣，請以台灣銀行當天匯款即期賣出匯率計算無條件捨去）

  1-credit Course: Data Analysis and Practice for Social Media  (see 2025 summer Outgoing Study): Graduates, undergraduates, and the students from the UST - University System of Taiwan (NCCU, National Tsing Hua University, National Central University, and National Yang Ming Chiao Tung University) are all eligible to obtain 1 credit after participating in at least 18 hours of learning sessions from this Outgoing Study program. Note: NCCU GCIT students need to stay aboard for 30 days.  .     You can select to participate in two weeks (10 days for BCIT intensive courses) or all four weeks (30 days from July 06 or 07 ~  Aug 06 or 07):  Week 1 - BC campus visit (including SFU, RR, and Victoria U) Week 2 - BCIT IoT fundamentals Week 3 - BCIT IoT advanced applications (with certificate of completion) Week 4 - UBC data modeling at Business School (with certificate of completion)   Total fee estimate (four weeks: around 150,000 NTD):  Visa, Airline round-trip, and Travel Insurance: 20,000 ~ 60,000 NTD  Courses, accommodation (including 3 meals every day), transportation, and weekday+weekend tours (four weeks): 110,000 NTD.     Registration: Outgoing Study 2026 @ Vancouver, BC, Canada All inquiries can be sent to the instructor via hsiehph@nccu.edu.tw 

The term “Artificial Intelligence (AI)” was coined in 1956. The field evolved slowly in the first 55 years. Yet, we have witnessed rapid advances in AI in the last decade. One example is the ChatGPT service. Questions have been raised about the role of AI in human society and civilization, e.g., whether AI will replace human intelligence (HI), how HI and AI complement each other, etc. In this talk, I will shed light on two issues. First, it is expected to divide AI into two categories: strong AI and weak AI. Strong AI is close to HI, while today’s AI belongs to the weak AI category. There is a substantial gap between weak and strong AI. AI should be humans’ servants and tools (rather than a master) from such a perspective. Second, I will point out the limitations of today’s AI tools based on deep learning (DL). DL is neither interpretable nor sustainable. Developing an alternative, interpretable, and sustainable AI methodology is critical. I have researched this problem since 2015 and proposed a green learning (GL) paradigm. GL models offer energy-efficient AI solutions in cloud centers and mobile/edge devices. They have been successfully applied to various applications. Date 日期 Thrusday, 10 July 2025, 1:10 PM – 2:30 PM (GMT+8) 2025年7月10日（星期四）下午 1:10 – 2:30 Venue 地點 人偉講堂 Jen-Wei Lecture Hall. Speaker 講者 C.-C. Jay Kuo Dr. C.-C. Jay Kuo received his Ph.D. from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as the Ming Hsieh Chair Professor, a Distinguished Professor of Electrical and Computer Engineering and Computer Science, and the Director of the Media Communications Laboratory. His research interests are in visual computing and communication. He is a Fellow of AAAS, ACM, IEEE, NAI, and SPIE and an Academician of Academia Sinica. Dr. Kuo has received a few awards for his research contributions, including the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2019 IEEE Computer Society Edward J. McCluskey Technical Achievement Award, the 2019 IEEE Signal Processing Society Claude Shannon-Harry Nyquist Technical Achievement Award, the 72nd annual Technology and Engineering Emmy Award (2020), and the 2021 IEEE Circuits and Systems Society Charles A. Desoer Technical Achievement Award. Dr. Kuo was the Editor-in-Chief of the IEEE Transactions on Information Forensics and Security (2012-2014) and the Journal of Visual Communication and Image Representation (1997-2011). He is currently the Editor-in-Chief for the APSIPA Trans. on Signal and Information Processing (2022-2023). He has guided 181 students to their Ph.D. degrees and supervised 31 postdoctoral research fellows. Register 報名 https://shorturl.at/ZCNhW    

日期 Date 2025年6月6日（星期五）下午 1:30 – 3:30 Friday, 06 June 2025, 1:30 PM – 3:30 PM (GMT+8) 地點 Venue 線上演講 Online Talk 連結 Link: https://meet.google.com/vvr-catu-fbf ►不需報名，直接點選連結參與即可。No registration required. Simply join via the link above. 講者 Speaker Neal Caffrey / AI Expert at AT Kearney 講者經歷 Speaker Background AI Expert, AT Kearney (USA) AI Architect & Head of AI Portfolio, NEOM (Saudi Arabia) AI Architect, G42 (UAE) 聯繫窗口Contact window： Dr. Hsieh 謝佩璇　hsiehph@g.nccu.edu.tw   Neal Caffrey 將以全英文分享其求學與研究背景，如何從學界進入業界，並持續於企業中推動 AI 與商業策略的整合應用。他目前擔任 AT Kearney 的 AI 專家，負責 Kearney 全球 AI 實驗室與相關業務發展，並將分享他在全球顧問公司中的實際經驗與觀察。 Neal Caffrey will give an English-language talk, sharing his journey from academia to industry, and how he has applied AI technology in strategic business contexts. He currently serves as an AI Expert at AT Kearney, where he leads internal AI initiatives and supports global AI-related consulting projects. ►AT Kearney 官網 Official Site: https://www.kearney.com/ ►招募資訊 Careers (Dubai Office): https://kearney.recsolu.com/job_boards/1    

為鼓勵大專校院等學研機構發揮創新思維，從實驗室成果逐步落地至產業實際應用，表彰對前瞻技術開發具有貢獻之優秀團隊，財團法人資訊工業策進會軟體技術研究院/中華民國資訊軟體協會舉辦「A* Awards－金仝獎」徵件競賽，期望透過此平台發掘具潛力之創新團隊，促進產學研合作與技術落地。 本屆競賽徵件主題涵蓋AI運算、智慧交通、韌性網路、數位分身或更多領域，受理時間即日起至114年06月01日止，歡迎組隊參與。 詳細活動辦法、報名方式及時程，請參閱活動網站：https://ievents.iii.org.tw/EventS.aspx?t=0&id=2794