Beijing 2018 winter gathering: AI to VR/AR

 
Beijing 2018 winter gathering: AI to VR/AR

Date & Time

Date 20 January
Time 14:30 - 20:00
Place Senscape Technologies (Beijing)
Event type

Description

Further to the success of our last alumni event in fall 2017 about AI (artificial intelligence), we are pleased to organize our first gathering in 2018 in an AI technology application company, Senscape Technologies (触景无限), the leading company dedicated to Embedded Artificial Intelligence. The event will be held by a presentation about visual perception by people from Senscape Technologies, followed by a visit at their VR/AR Experience Center. Please find the detailed information about this event as follows:

Date            :    Saturday January 20, 2018
Time           :    14h30-20h
Address     :    5th floor, East Buliding, No.32 Chuangye Zhonglu, Haidian District, Beijing
北京市海淀区创业中路32号东楼五层

Dinner:
川浙会江南菜馆
Address       :    No.19 1st building, Shangfu Center, Shangdi Xinxi Lu.
上地信息路19号1栋商服中心

Agenda:
14h30               Gathering at Senscape Technologies
15h-16h            AI talk
16h-17h            Visit VR/AR Experience Center
18h-20h            Group dinner

The event cost (if any) will be sponsored by EPFL Alumni while the dinner cost will be AA based.  All family members as well as close friends are also welcome to join the event.

Please register before January 19, 2018 by
Wechat1           :           danyi1004
Wechat2           :           EPFL Alumni Beijing
Email    :           zbren@vip.sina.com
Mobile  :           138 0166 6305 (Zhanbing Ren)

Looking forward to meeting you soon y this event and best regards.

Zhanbing Ren
President of EPFL Alumni Beijing Chapter
+86 138 0166 6305

Brief introduction of Senscape
Senscape is a provider of embedded artificial intelligence platform intended to offer multi-purpose computer vision at real-time 3D reconstruction basis. The company’s artificial intelligence platform uses advanced visual perception technology to complete the extraction, recognition and classification of target images in complex background and high dynamic lighting conditions, enabling clients to analyze and understand in actual scene.

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