AERFA XINLI
Aerfa Xinli is an intelligent mental health management service platform.
AERFA XINLI
Industry:
Health Care Medical Mental Health Mobile Apps
Founded:
2017-01-01
Address:
Jiangning, Jiangsu, China
Country:
China
Website Url:
http://www.xinli.ai
Total Employee:
11+
Status:
Active
Contact:
400-040-6667
Total Funding:
1000 K CNY
Technology used in webpage:
IPhone / Mobile Compatible Viewport Meta Amazon SSL By Default GoDaddy DNS AWS Global Accelerator OpenResty GoDaddy SSL Google Adsense AdBlock Acceptable Ads
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Investors List
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Plug and Play China investment in Seed Round - Aerfa Xinli
Official Site Inspections
http://www.xinli.ai
- Host name: a2aa9ff50de748dbe.awsglobalaccelerator.com
- IP address: 15.197.148.33
- Location: United States
- Latitude: 37.751
- Longitude: -97.822
- Timezone: America/Chicago

More informations about "Aerfa Xinli"
XinLi AI Blog
Jul 5, 2020 XinLi AI Blog Posts. Reading notes: Federated Learning with Only Positive Labels. Get link; Facebook; X; Pinterest; Email; Other Apps - August 16, 2020 This blog is the reading …See details»
Xin Li | Homepage
Xin Li's Homepage, Research Assistant at Nanyang Technological University (NTU), Singapore. Research Interest: SLAM, Embodied AI, and LLM.See details»
Xin Li's Personal Page
Learning Optical Flow with Kernel Patch Attention Ao Luo, Fan Yang, Xin Li and Shuaicheng Liu. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition …See details»
Xin Li - AI Language Specialist - Outlier - LinkedIn
Language Specialist | Certified EN-CN Translator | MA Candidate in Localization Project Management at MIIS · Experience: Outlier · Education: Middlebury Institute of International …See details»
Xin Li - Google Scholar
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4739-4746, 2020. 28: 2020: Vispi: Automatic visual perception and interpretation of chest x-rays. X Li, R Cao, D Zhu. arXiv …See details»
Understanding Foundation Models: The Backbone of …
Jun 5, 2024 By understanding and leveraging foundation models, we can unlock new potential in AI applications, driving innovation and progress across various fields. Follow Written by Irina (Xinli) Yu, Ph.D.See details»
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