My quick and incomplete observations  in NVIDIA GTC 2017 keynote. CEO Jen-Hsun Huang had an amazing pitch for the almost two and half talk — quite impressed as usual.

The AI waves are strong and solid. The ecosystem is getting much better; there are numerous tools to help training and leaning easier. The new chip set V100 (with 12nm by TSMC) brings VREY HUGE improvement than P100. Check out the video for more details. For deployment, tensorRT makes deploying networks easier and more efficient. Toyota partners with NVIDIA. GPU instances are with huge demands in cloud services in Microsoft Azure and Amazon AWS.

NVIDIA will get stronger.

After the keynote, I was able to talk to CEO Jensen shortly and thank him in person how grateful we are to have his kind supports (grants and DGX-1) for NVIDIA AI Lab.

I also let him know that in Taipei we have more promising companies and energetic researchers and engineers who are working hard to catch this opportunity.

More exciting things to come.

Note that I was in GTC 17 for a 50-min lecture for multimodal deep neural networks with Prof. 李宏毅. Also huge thanks to the many kind supports from NVIDIA Taiwan and especially Eric Chang.


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August 20th, 2017

Amazing Year in IBM TJ Watson (IBM 華生研究中心的夢幻旅程)

August 20th, 2017

Presenting in Media Event: 商業週刊演講會 — 機器智能的在地機會

July 24th, 2017

NVIDIA AI Lab Meetup in CVPR 2017 and new V100 GPUs

August 29th, 2017

Interview by Harvard Business Review (哈佛商業評論) on How to Grow the (AI) Talents

August 27th, 2017

Panel Discussion in IBM Technical Forum 2017 and How to be the AI-Savvy Company

August 20th, 2017

Technical Talk in Dell Technology Forum 2017 — AI Developments and Opportunities

July 25th, 2017

Our CVPR 2017 Paper Highlighted in NVIDIA Corporate Blog

July 18th, 2017

Drone-View Object Localization/Counting and Public Vehicle Dataset (CARPK)

July 2nd, 2017

Publications vs. Industry Needs (發表學術論文跟產業脫節?)

June 9th, 2017

Team management, productivity, and appreciation