Google AI Academic Forum 2024

aintu — Fri, 12 Jul 2024 03:59:49 +0000

📌Date：2024.07.24 ~ 2024.07.26
📌Location：NTU Graduate Institute of Applied Mechanics & National Cheng Kung University (7/26)

This year’s theme focuses on Generative AI and Multi-modality Large Foundation Models. Seven experts from Google’s large-scale model R&D team and eight Taiwanese scholars are invited to Taiwan to deliver keynote speeches and panel discussions, engaging in in-depth knowledge sharing and exchanges with Taiwan’s academic and research teams.

Event PhotoLink

Agenda Google AI Academic Forum 2024

NTU 7/24 (Wed.)

Time

Topic

Speaker

09:30

｜

09:45

Opening

國科會陳炳宇副主委

Google ChromeOS 研發總經理馬大康博士 (Jason Ma)

Google DeepMind 傑出科學家紀懷新博士 (Ed Chi)

成功大學謝孫源國際長

臺灣大學廖婉君副校長

09:45

｜

10:05

AI For Everyone

Jason Ma (馬大康)

Engineering Director

ChromeOS, Google

10:05

｜

10:45

The LLM (Large Language Model) Revolution: History, Development, and Implications

Ed Chi (紀懷新)

Distinguished Scientist

Google DeepMind

10:45

｜

11:25

Think, Act, Improve: What’s After Next-token Prediction in AI?

Heng-Tze Cheng (鄭恆之)

Research Director

Google DeepMind

11:25

｜

12:05

TAIDE: The Localization of LLMs for Taiwan

Hen-Hsen Huang (黃瀚萱)

Assistant Research Fellow

Academia Sinica

12:05

｜

13:10

Lunch Break

13:10

｜

13:30

Google Research Solutions & University Relations in Taiwan

Aimin Zhu (朱愛民)

Head of East Asia Research Solutions & University Relations, Google

13:30

｜

14:10

Challenges of Applied ML

(In English)

Jack Nikodem

Senior Staff Research Engineer

Google

14:10

｜

14:50

From Bots to Buddies: Advancing LLMs to Be More Human-Like

Yun-Nung Vivian Chen (陳縕儂)

Associate Professor

National Taiwan University

14:50

｜

15:30

Break & Networking

15:30

｜

16:10

Multimodal LLM: Audio and Vision

Shuo-yiin Chang (張碩尹)

Senior Staff Research Scientist

Google DeepMind

16:10

｜

16:50

Panel discuss & QA (in Mandarin)

LLM and multimodal LLM Technology Trend and Challenges

Panelist: Ed Chi, Heng-Tze Cheng, Shuo-yiin Chang, Yun-Nung Vivian Chen, Hen-Hsen Huang
Moderator: Lun-Wei Ku(古倫維) Research Fellow, Academia Sinica

NTU 7/25 (Thu.)

Time	Topic	Speaker
09:30 ｜ 10:10	LLM for Retrieval and Ranking	Yunhsuan Sung (宋雲軒) Principal Scientist Google DeepMind
10:10 ｜ 10:50	Toward Real-Time Generalist Computer Vision Model	Chien-Yao Wang (王建堯) Assistant Research Fellow Academia Sinica
10:50 ｜ 11:30	Can A Generative model Perform Prediction?	Shou-De Lin (林守德) Professor National Taiwan University
11:30 ｜ 12:10	Panel discuss & QA (in Mandarin) Generative Model for Different Modalities, From The Aspects of Text, Images, and Speeches	Panelist: Yunhsuan Sung, Chien-Yao Wang, Shou-De Lin Moderator: Chi-Chun Lee (李祈均) Professor, National Tsing Hua University
12:10	End

NCKU 7/26 (Fri.)

09:30

｜

09:45

Welcome

09:45

｜

10:25

Keynote: The LLM (Large Language

Model) Revolution: History,

Development, and Implications

Ed Chi (紀懷新)

Distinguished Scientist

Google DeepMind

10:25

｜

11:05

Think, Act, Improve: What’s After Next-token Prediction in AI?

Heng-Tze Cheng (鄭恆之)

Research Director

Google DeepMind

11:05

｜

11:45

Kuwa: An Open Source Platform for GenAI Application Development and Deployment

Chun-Hsin Wu (吳俊興)

Associate Professor

National University of Kaohsiung

11:45

｜

12:25

Challenges of Applied ML

(In English)

Jack Nikodem

Senior Staff Research Engineer

Google

12:25

｜

13:30

Lunch Break

13:30

｜

14:10

Green Life with AI

Kun-Ta Chuang (莊坤達 )

Associate Professor

National Cheng Kung University

14:10

｜

14:50

Multimodal LLM: Audio and Vision

Shuo-yiin Chang (張碩尹)

Senior Staff Research Scientist

Google DeepMind

14:50

｜

15:30

Break & networking

15:30

｜

16:10

LLM for Retrieval and Ranking

Yunhsuan Sung (宋雲軒)

Principal Scientist

Google DeepMind

16:10

｜

16:50

Panel discuss & QA (in Mandarin)
LLM and Multimodal LLM Technology Trend and Challenges

Panelist: Ed Chi, Yunhsuan Sung, Shuo-yiin Chang and Chun-Hsin Wu

Moderator: Hung-yu Kao, National Cheng Kung University

Speaker

✏️NTU

Date：2024.07.24 (Wed.) ~ 07.25(Thu.)

RegistrationLink 👈(報名已截止)

Contact：AINTU／賴小姐
laichiling@ntu.edu.tw

✏️NCKU

活動日期：2024.07.26 (Fri.)

Registration Link👈(報名已截止)

Contact：NCKU／李小姐
michelle.hyk99@gmail.com

★Notice:

1. This forum will primarily be conducted in Chinese, with some sessions in English.

2. This event is subject to an application review process. Registration does not guarantee admission. Notification of participation will be sent via email three days prior to the event.

★【7/31問卷抽獎名單】

感謝大家參與參與Google AI Academic Forum 2024並且填寫問卷，

以下為問卷抽獎名單得主，請以下10位得主確認是否收到確認信件，如果沒有收到請檢查看看垃圾信件

(以下名單為隨機排序)

1.黃●豪 r1194404●@ntu.edu.tw

2.李●宸 mark.pc.le●@gmail.com

3.張●君 pcchang.cs0●@nycu.edu.tw

4.時●澔 howardshih61703●@gmail.com

5.許●瑀 t11236803●@ntut.org.tw

6.周●揚 we7ya7●@gapp.nthu.edu.tw

7.Jing-● Huang jing0en0huan●@gmail.com

8.方●增 joycefang121●@gmail.com

9.王●鈞 dylan9101102●@gmail.com

10.藍●珊 r08b4600●@gmail.com

★【7/24活動公告】

● 7/25活動改為線上進行，議程不變，請用以下連結準時參加👉meet.google.com/sys-uomk-sfw

●7／26臺南場改為線上舉行，將各別發送郵件通知參加者。

★【7/24活動公告】

感謝大家今天(7/24)參與活動~

歡迎大家填寫問卷，告訴中心您的想法和建議，問卷連結如下

👉 https://forms.gle/PQivd7gGaD7MovME7

★7/22重要公告7/24(三)Google AI Academic Forum 2024改為線上舉行

因凱米颱風來襲，經行政院人事行政總處公布臺北市7/24(三)停班停課，7/24(三)Google AI Academic Forum 2024改為線上舉行，敬請錄取者使用信箱寄送的連結參與。

*若行政院人事行政總處於7/25-7/26也公布停班停課，後續也將以信件通知線上參加連結

★7/22重要公告因颱風凱米可能登陸台灣，若公布停班，活動將改為線上舉辦，活動連結將寄發給錄取者，敬請各位注意中心公告！

★7/22更新：感謝大家熱烈報名Google AI Academic Forum 2024！錄取通知已於7/22寄發，請檢查註冊郵件信箱是否收到

★7/19更新：本活動將於 7/22(週一) 上午10:00截止報名, 7/22 E-Mail通知錄取。

自從2018年開始，Google 每年與臺灣大學舉辦「AI 創新研究營」，邀請Google 的學者與臺灣的教授與學生分享最新AI領域的研究，協助培育在地人才並與世界接軌。為讓更多師生能參加，今年擴大舉行，並改名為 Google AI Academic Forum (AI 學術論壇)，由臺灣大學與成功大學共同舉辦兩個場次，在臺北與臺南以實體活動方式進行。今年的主題是生成式AI (Generative AI)、以及多模態大模型 (Multi-modality Large Foundation Models)。邀請 Google 大型模型研發團隊專家來台，與臺灣學研團隊分享與交流。活動內容將安排專家演講、座談、與聽眾問答、以及自由交流討論等方式。

主辦單位：

臺灣大學人工智慧研究中心 (AINTU)

成功大學電機資訊學院

贊助：Google

Google AI Academic Forum – 台灣大學人工智慧技術暨全幅健康照護聯合研究中心 (AINTU)

Google AI Academic Forum 2024