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    Conference Room 1, Humanities and Social Sciences Building, Academia Sinica

  • Speaker Name

    Sheng-Feng Shen Research Fellow (Biodiversity Research Center, Academia Sinica)、Ji-Yen Cheng Research Fellow (Research Center of Applied Sciences, Academia Sinica)

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[AI for ALL AS Lecture Series] AI meets biology (In Chinese)

2024-10-07 10:00 - 12:00

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Title: [AI for ALL AS Lecture Series] AI meets biology (In Chinese)
Date: October 7, 2024 (Monday)
Time: 10:00 – 12:00
Location: Conference Room 1, Humanities and Social Sciences Building, Academia Sinica
Registration Link: https://forms.gle/dJeGBY23Ko9prGTBA
Registration Period: From now until October 4, or until full capacity is reached.
Capacity: 130 participants

議程

時間 Time活動內容 Program
開幕致詞 Opening Remark
10:00 – 10:05主持人 Host
陳君厚秘書長 Secretary-General Chun-houh Chen
專題演講Keynote Speech
10:05 – 10:35
門外漢的AI 應用經驗 - 拉曼影像分群以及細胞活性判讀
AI application by an amateur - Raman image classification and cell viability recognition

鄭郅言研究員 (本院應用科學研究中心)
Ji-Yen Cheng Research Fellow (Research Center of Applied Sciences, Academia Sinica)

10:35 – 11:05
利用人工智慧探索生物演化的方向性與有限性
Exploring the Directionality and Limitations of Biological Evolution Through the AI Lens

沈聖峰研究員 (本院生物多樣性研究中心)
Sheng-Feng Shen Research Fellow (Biodiversity Research Center, Academia Sinica)

座談 Panel Discussion
11:10 – 11:50
與談人Panelist

蘇黎副研究員 (本院資訊科學研究所)
Li Su Associate Research Fellow (Institute of Information Science, Academia Sinica)
顏佐榕副研究員 (本院統計科學研究所)
Tso-Jung Yen Associate Research Fellow (Institute of Statistical Science, Academia Sinica)
王建堯助研究員 (本院資訊科學研究所)
Chien Yao Wang Assistant Research Fellow (Institute of Information Science, Academia Sinica)

11:50 – 12:00致贈紀念品及合影 Group Photo


1. This talk will be given in Chinese. Prior registration is required.
2. Registration Link (Deadline: October 4 or until fully booked): https://forms.gle/dJeGBY23Ko9prGTBA
3. Organizer: AI Promotion Office
4. Co-organizer: AI Cooperative
5. Host: Secretary-General Chun-houh Chen
6. Contact: Yuan-Pin Huang(2787-2573)、Min-Yan Kuo(2789-8726)

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