【電機系書報討論演講訊息】 

電機系書報討論網頁：https://lms.nthu.edu.tw/course/40748

電機系演講公告網址：http://web.ee.nthu.edu.tw/p/403-1175-2629-1.php

題  目：How NVIDIA powering revolution with AI and Deep Learning?

講  員：李正匡 博士【NVIDIA AI Technology Center - Taiwan】

時      間：2019年12月27日(星期五) 下午2時20分

                    (2:10PM入場，為維持演講品質，2:30PM後不開放入場)

地      點：清華大學資電館B01演講廳

Abstract:

Deep learning (DL) has been booming recent years and brings tremendous progress in various fields, like computer vision, natural language process, autonomous driving etc. As a leading company in GPU technology, NVIDA tries to boost computing power with CUDA to accelerate various fields in sciences, technologies, and applications. This talk will give you a brief introduction about how GPU facilitated AI/DL revolution, and what are the differences between traditional machine learning and deep learning. Some specific deep learning technologies like GAN, autoencoder etc. and industrial applications in healthcare, automotive and so on will also be introduced.

Bio:

Cheng-Kuang Lee received the B.S degree in Physics in 2003, and the PhD degree in 2010 from Graduate Institute of Photonics and Optoelectronics, both from National Taiwan University (NTU). From 2012 to 2016, he was assistant professor of EE department and Graduate Institute of medical mechatronics of Chang Gung University (CGU). Dr. Lee joined TSMC as principle engineer of Yield Excellence Program during 2016 - 2018. Since 2018, he currently serves as a senior solution architect in NVIDIA AI Technology Center - Taiwan. His research and scientific interests include deep learning and machine learning algorithm development, Medical or Industrial imaging system, like Optical Coherence Tomography/Microscopy, ultrasound, MRI, CT etc.

主持人：謝秉璇老師

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