Home Int'l CooperationFuture Earth Taipei
2023/12/8
Demystify ๐ผ๐ง๐ฉ๐๐๐๐๐๐๐ก ๐๐ฃ๐ฉ๐๐ก๐ก๐๐๐๐ฃ๐๐ & ๐๐๐๐๐ฃ๐ค๐ก๐ค๐๐ฎ Outlook
Abstract ไธป้ก็ฐกไป
The term โArtificial Intelligence (AI)โ was coined in 1956. The field evolved slowly in the first 50 years. Yet, we have witnessed rapid advances in AI in the last decade. One example is the availability of the ChatGPT service. Questions have been raised about the role of AI in human society and civilization, e.g., whether AI will replace human intelligence (HI), how HI and AI complement each other, etc. In this talk, I will shed light on two issues. First, it is common to divide AI into two categories: strong AI and weak AI. Strong AI is close to HI while todayโs AI still belongs to the weak AI category. There is a substantial gap between weak and strong AI. AI should be humanโs servants and tools (rather than a master) from such a perspective. Second, I will point out the limitations of todayโs AI tools based on deep learning (DL). DL is neither interpretable nor sustainable. It is critical to develop an alternative AI methodology that is interpretable and sustainable. I have conducted research on this problem since 2015 and propose a green learning (GL) paradigm. GL significantly reduces the model size and the complexity of DL models, yielding green AI solutions. The GL methodology will be briefly presented.
ๅ ฑๅ้ฃ็ต๏ผhttps://bit.ly/2023talk-prof-kuo
ไธป่ฌไบบ๏ผ้ญๅฎๆฐ C.-C. Jay Kuo๏ฝไธญๅคฎ็ ็ฉถ้ข้ขๅฃซ ๏ฝ ็พๅๅๅฎถ็ผๆๅฎถ็งๅญธ้ข้ขๅฃซ
ไธปๆไบบ๏ผ้ง่ฒไป๏ฝไธญ็ ้ขๆญ็พๆ็น่็ ็ฉถๅกๅ ผๆ้ท
ๆ้๏ผ2023ๅนด12ๆ08ๆฅ (ไบ) 10:00AM
ๅฐ้ป๏ผไธญๅคฎ็ ็ฉถ้ขๆญ็พๆไธๆจๆ่ญฐๅปณ
ไธป่พฆๅฎไฝ๏ผไธญๅคฎ็ ็ฉถ้ขๆญ็พ็ ็ฉถๆใไธญๅคฎ็ ็ฉถ้ขๆฐธ็บ็งๅญธไธญๅฟ
ๆฟ่พฆ: Farm for Change: ๆฐฃๅ่ฎ้ทไบบๆ็คพๆ่ทจ้ ๅ่งๅฟตๅฏฆ้ฉๅฎคใFuture Earth Taipei.png)
The term โArtificial Intelligence (AI)โ was coined in 1956. The field evolved slowly in the first 50 years. Yet, we have witnessed rapid advances in AI in the last decade. One example is the availability of the ChatGPT service. Questions have been raised about the role of AI in human society and civilization, e.g., whether AI will replace human intelligence (HI), how HI and AI complement each other, etc. In this talk, I will shed light on two issues. First, it is common to divide AI into two categories: strong AI and weak AI. Strong AI is close to HI while todayโs AI still belongs to the weak AI category. There is a substantial gap between weak and strong AI. AI should be humanโs servants and tools (rather than a master) from such a perspective. Second, I will point out the limitations of todayโs AI tools based on deep learning (DL). DL is neither interpretable nor sustainable. It is critical to develop an alternative AI methodology that is interpretable and sustainable. I have conducted research on this problem since 2015 and propose a green learning (GL) paradigm. GL significantly reduces the model size and the complexity of DL models, yielding green AI solutions. The GL methodology will be briefly presented.
ๅ ฑๅ้ฃ็ต๏ผhttps://bit.ly/2023talk-prof-kuo
ไธป่ฌไบบ๏ผ้ญๅฎๆฐ C.-C. Jay Kuo๏ฝไธญๅคฎ็ ็ฉถ้ข้ขๅฃซ ๏ฝ ็พๅๅๅฎถ็ผๆๅฎถ็งๅญธ้ข้ขๅฃซ
ไธปๆไบบ๏ผ้ง่ฒไป๏ฝไธญ็ ้ขๆญ็พๆ็น่็ ็ฉถๅกๅ ผๆ้ท
ๆ้๏ผ2023ๅนด12ๆ08ๆฅ (ไบ) 10:00AM
ๅฐ้ป๏ผไธญๅคฎ็ ็ฉถ้ขๆญ็พๆไธๆจๆ่ญฐๅปณ
ไธป่พฆๅฎไฝ๏ผไธญๅคฎ็ ็ฉถ้ขๆญ็พ็ ็ฉถๆใไธญๅคฎ็ ็ฉถ้ขๆฐธ็บ็งๅญธไธญๅฟ
ๆฟ่พฆ: Farm for Change: ๆฐฃๅ่ฎ้ทไบบๆ็คพๆ่ทจ้ ๅ่งๅฟตๅฏฆ้ฉๅฎคใFuture Earth Taipei
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