Dr. Simon See(Global Head, NVIDIA AI Technology Center)をお招きして、セミナーを開催いたします。
参加希望の方は、下記Googleフォームにて申し込みください。
申込は東北大学学内限定です。(tohoku.ac.jpの学内アドレスよりお申し込みください)
We are pleased to invite Dr. Simon See to join us for a seminar.If you would like to attend, please click the button above to apply for participation .
| 開催日時/Date | 2024年6月28日 (金) 15:00-16:00 June 28, 2024 (Fri) 15:00-16:00 |
| 講演題目/Title | Generative AI and Applications |
| 開催形式/Style | ハイブリッド（現地＋オンラインZoom） Hybrid (on-site + online Zoom) |
| 現地場所/Location | 東北大学 川内キャンパス マルチメディア教育研究棟(A05) 2F マルチメディアホール 【マルチメディア教育研究棟】 https://www.tohoku.ac.jp/japanese/profile/campus/01/kawauchi/areaa.html 地図中のA05の建物．▲が建物入り口 入り口正面のエレベーターに乗り2Fで降りて左手方向 【マルチメディアホール各階案内】 https://www2.he.tohoku.ac.jp/center/mm_intro/mm_intro.html |
| 対象者/Target Audience | 生成AIに興味のある学内の研究者、学生、関係者 Researchers, students, and others in the Tohoku university who are interested in generative AI |
| 備考/Note | ※申込後、オンラインZoomのURLをお伝えします。 *Online Zoom URL will be provided after registration. ※当日現地での参加登録も可能です。 *You can also register on-site on the day of the event. |
Speaker : Dr. Simon See(Global Head, NVIDIA AI Technology Center)
Profile
Dr. Simon See is currently the Solution Architecture and Engineering Director, Chief Solution Architect and Global Head for NVIDIA AI Technology Center, NVIDIA Corporation. He is also an Adjunct Professor at Shanghai Jiao Tong University, Conventry University, and Universitas Indonesia (UI). He is also a distinguished fellow in Fudan University. Previously Professor See is also the Chief Scientific Computing Advisor for BGI (China) and has a position in Nanyang Technological University (Singapore) and King-Mong Kung University of Technology (Thailand). Recently Professor Simon has been appointed as the Executive Director of the ASEAN Applied Research Centre (AARC). His research interests are in the area of High-Performance Computing, Big Data, Artificial Intelligence, Machine Learning, Computational Science, Applied Mathematics and Simulation Methodology.
Title : Generative AI and Applications
This talk explores the transformative potential of accelerated computing platforms for AI and LLM (Large Language Model) in various fields, and delve into practical use cases, showcasing how developers and researchers leverage the technologies to drive innovation and efficiency. Additionally, several topics of collaborative research at NVIDIA AI Technology Center are covered.
