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[主題報導]2017 Summer Course深度學習電路與系統設計技術 Deep Learning Circuits & Systems Design Technologe(2017.8.7-8.11) 2017/08/29

不必出國! 我們幫您把大師都邀來了~在臺灣就能享受國際專業講堂!

 

人工智慧的研究近年來成為世界各國競相發展的重點科技,其中深度學習(Deep Learning)更是此領域成長最為快速的主題,為了解國際發展現況並取得前瞻優勢,智慧電子研發成果橋接計畫辦公室特別在今年暑假邀請5位國際專家來台授課(講師來自美國、中國、韓國等名校),在87-11日辦理為期5天、一天6小時的高密集課程,期盼為臺灣人工智慧領域發展注入養分,豐沛未來智慧生活所需前瞻應用科技的研發能量。

  • Efficient Computing Platforms for Neuromorphic Systems(講師:Prof. Marilyn Wolf, Georgia Tech)
  • Neuromorphic Computing and Deep Learning Acceleration– Algorithm, Software, and System(講師:Prof. Yiran Chen, Duke University)
  • Deep Learning on Edge – From Compression to Quantization and Architecture Designs for FPGAs and ASICs(講師: Prof. Yu Wang, Tsinghua University)
  • Deep Learning Algorithms and Architecture Optimizations(講師: Prof. Sungjoo Yoo, Seoul National University)
  • Designin Efficient Deep Learning Hardware: Challenges and Opportunities(講師 Prof. Vivienne Sze, MIT)
  • Neuromorphic Computing and Deep Learning Acceleration– Technology, Hardware, and Implementation(講師: Prof. Hai (Helen) Li , Duke University)

 

本課程報名熱烈,學員背景含括全台各大學校院在學碩博士生、教授與業界人士約140人,不僅課程期間出席率高,每天還能見到下課後學員排隊向講師請益的盛況。

課程結束後,不少學員回饋受益良多,能夠同時邀集多位國際大師實屬難得,希望爾後可多舉辦類似課程並增加實作教學,增進教授與學員間的互動時間。

Prof. Marilyn Wolf Prof. Yiran Chen
Prof. Yu Wang Prof. Sungjoo Yoo
Prof. Vivienne Sze (Skype) Prof. Hai Li

Artificial intelligence (AI) has become one of the hottest trends in recent years, with deep learning being the fastest growing segment of AI. To gain deeper insight into the deep learning’s recent development, the NPIE Bridge organized an intensive 5-day summer course at National Tsing Hua University from Aug. 7-11.