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【演講公告】2023.04.12 - Artificial Intelligence Thinking and Its Applications – 台灣網路資訊中心董事長、國立陽明交通大學應用數學系 李育杰教授

ai seminar


講題:Artificial Intelligence Thinking and Its Applications

講者:台灣網路資訊中心董事長、國立陽明交通大學應用數學系 李育杰教授

時間:2023.04.12 (三) 2:00-4:00pm

地點:長庚大學人工智慧研究中心(管理大樓11樓)

線上直播:https://shorturl.at/emqO2

 

演講大綱:

Artificial Intelligence (AI) has revolutionized the way we live and work. In this talk, we will provide a brief overview of AI and its key milestones. We will then introduce Machine Learning, a subset of AI, and its role in powering intelligent systems. We will focus on two specific applications of AI: continuous monitoring and anomaly detection in the context of the Internet of Things (IoT), and intelligent customer service. With the help of AI, businesses can monitor their assets in real-time and detect any anomalies, allowing for timely intervention and preventing potential damage.

However, AI also poses significant cybersecurity risks, and we must be vigilant in addressing these challenges. We will conclude the talk by emphasizing the importance of recognizing human values and ethical principles while developing AI applications.

人工智慧(AI)已經徹底改變了我們的生活和工作方式。在本講座中,我們將簡要介紹人工智慧及其關鍵里程碑。然後我們將介紹機器學習,這是人工智慧的一個子集,以及它在推動智能係統方面的作用。我們將重點介紹人工智慧的兩個具體應用:物聯網背景下的持續監測和異常檢測,以及智能客戶服務。在人工智慧的幫助下,企業可以實時監測他們的資產,並檢測任何異常情況,以便及時干預並防止潛在的損害。

然而,人工智慧也帶來了巨大的網絡安全風險,我們必須對解決這些挑戰保持警惕。在講座的最後,我們將會強調在開發人工智慧應用時承認人類價值和道德原則的重要性。

 

關於講者:

Prof. Yuh-Jye Lee received his PhD in Computer Sciences from UW-Madison in 2001. He has held various academic positions including Assistant Professor at National Chung Cheng University and later Professor at National Taiwan University of Science and Technology and National Chiao Tung University. He was the Executive Director of the Cybersecurity Special Center and Alliance Project at the Information Technology Innovation Center at Academia Sinica, 2018-2021. Prof. Lee's research focuses on AI, data science, machine learning, and information security, with a particular interest in lightweight anomaly detection techniques for IoT applications. He has developed numerous efficient machine learning algorithms over the past decade, which have been successfully applied in various fields, including network intrusion detection and fake news prevention.

李裕傑教授於2001年在華盛頓大學麥迪遜分校獲得電腦科學博士學位。他曾擔任各種學術職務,包括國立中正大學的助理教授,後來在國立台灣科技大學和國立交通大學擔任教授。 2018-2021年,他在中央研究院信息技術創新中心擔任網絡安全專項中心和聯盟項目的執行主任。李教授的研究重點是人工智慧、數據科學、機器學習和訊息安全,尤其對物聯網應用的輕量級異常檢測技術感興趣。在過去十年中,他開發了許多高效的機器學習算法,並成功應用於各個領域,包括網絡入侵檢測和假新聞防範。

 

主辦單位:智慧運算學院、人工智慧研究中心

※本活動無需事先報名。