長庚大學國際學者專家演講

演講主題：Artificial Intelligence: Deep Learning versus Green Learning
講者: Dr. Jay Kuo美國南加州大學電機與計算機工程及計算機科學傑出教授
時間: 2025/10/21 (二) 14:10-15:00
直播連結: https://reurl.cc/EQlmra 或掃描海報 QR code

演講大綱:
The term “Artificial Intelligence (AI)” was coined in 1956. The field evolved slowly in the first 55 years. Yet, we have witnessed rapid advances in AI in the last decade. A recent successful example is the emergence of large language models. In this talk, I will shed light on two issues. First, I will explain the reasons for the advancement of AI in the last decade. Simply speaking, modern AI relies on numerous training samples that contain input/output pairs. An AI system provides a data-fitting solution to capture input and output mapping. Second, I will present two data–fitting methodologies: deep learning (DL) and green learning (GL). Although DL is dominant today, it is neither interpretable nor sustainable. Developing an alternative, interpretable, and sustainable AI methodology is challenging but essential. I have researched this problem since 2015. GL models offer energy-efficient AI solutions in cloud centers and mobile/edge devices. They have been successfully applied to various applications. I will use several medical imaging examples to highlight the differences between DL and GL solutions.
主辦單位：智慧運算學院、人工智慧研究中心
※本活動無需報名

公告單位：智慧運算學院
承辦人：劉宇婷
聯絡分機：409-2501

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【智慧運算學院公告】2025年10月21日專題演講 — Artificial Intelligence: Deep Learning versus Green Learning