【活動訊息】Interfacing Mathematics and Physical Sciences through Machine Learning
Interfacing Mathematics and Physical Sciences through Machine Learning
本次由數學學門及物理學門主辦的跨域合作會議「Interfacing Mathematics and Physical Sciences through Machine Learning」。會議期望通過數統學門和物理學門的會中專家交流，在機器學習和AI的主題上創造雙方合作的機會。
活動參與請於110/5/17前至活動網頁註冊：http://prpc.phys.nthu.edu.tw/MbService/ac_main.aspx?v=45
Time: May 22, 2021
Venue: Lecture Hall 5F, Cosmology Building, NTU
Organizers:
Ming-Lun Hsieh (Academia Sinica)
Ying-Jer Kao (National Taiwan University)
Weichung Wang (National Taiwan University)
Aim & Scope:
Machine learning has entered many scientific disciplines with great success. Algorithms and modeling tools have been developed and applied to many data processing tasks in physical sciences. Recently, it is noted it is important to design models and learning algorithms that can capture the underlying structure of the dataset. For example, symmetries inherent in the physical process are important and should be exploited to better model the data. Recent progress on multi-dimensional statistics and data dimension reduction also point to new directions in machine learning. In this workshop, we bring together experts in physical sciences and mathematics to explore these topics. Through this workshop, we hope new interdisciplinary research direction can be identified and research teams can be formed. Furthermore, this will serve as an example of future collaboration between Mathematics and Physical Sciences.
聯絡方式：科學推展中心數學組王靜雯小姐; 電話: 02-23685999#383；E-mail: Email住址會使用灌水程式保護機制。你需要啟動Javascript才能觀看它
