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SenseTime Enterprise Visit
Subtitle: Explore SenseTime's headquarters and learn how China's AI pioneer advances computer vision and deep learning.
Body:
SenseTime was founded in 2014, originating from the Multimedia Laboratory at the Chinese University of Hong Kong. The company's main business focuses on computer vision technology and deep learning algorithms. It is an algorithm provider in the fields of computer vision and deep learning, and a next-generation artificial intelligence open innovation platform.
Core Technologies
SenseTime has built core capabilities including AI chips, AI sensors, and AI computing infrastructure. The company took the lead in building a new type of artificial intelligence infrastructure — the SenseCore AI large device — integrating computing power, algorithms, and platforms. On this foundation, it established the "SenseNova" large model and R&D system, promoting efficient, low-cost, and scalable AI innovation and implementation.
Industry Impact
By connecting computing power, algorithms, and platforms, SenseTime drives the formation of a commercial value loop and addresses long-tail application challenges. This approach is leading AI into a new stage of industrialized development — moving from laboratory research to real-world deployment across industries.
Why Visit SenseTime
Understand how a leading AI company builds large-scale computing infrastructure
Learn about the SenseCore AI large device and SenseNova large model
Explore real-world applications of computer vision and deep learning
Gain insight into China's AI industry development and industrial deployment
Who Should Attend
This program is designed for executives, investors, technology leaders, and business professionals who want to understand China's AI ecosystem and the infrastructure behind large-scale AI deployment.
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| Time | Activity |
|---|---|
| 09:30–10:20 | Visit SenseTime Technology Exhibition Hall |
| 10:20–12:00 | Themed Sessions (optional): New Technology Driving Forces, Digital Intelligence Transformation & Upgrading, Technology Change & Government Governance Capacity Modernization, Future Leadership: Management Change & Organizational Reinvention, AI Industry — Becoming a Leader |