Zhiliang Zhichuang Participates in the 79th China Education Equipment Exhibition!!!
Release Date: 2021-4-25 10:58

April 23rd - 25th, 2021

The 79th China Education Equipment Exhibition

Was grandly held in the beautiful Egret Island, Xiamen!

The 3-day 79th China Education Equipment Exhibition concluded successfully at the Xiamen International Conference and Exhibition Center. Education equipment production and operation enterprises from all over the country participated in groups, showcasing the latest achievements, technologies, and products in the national education equipment industry.

Zhiliang Zhichuang took this opportunity to share the theoretical experience and practical achievements of contemporary educational technology innovation with all exhibitors, guests, and audiences.

During the exhibition, our team members provided detailed introductions of Zhiliang Zhichuang's Future Classroom solutions to all visitors.

Starting from the current state of the industry, the AI Brain Science Future Classroom, based on EEG feedback technology, can detect students' concentration levels during class. Teachers can access the management system at any time to understand students' concentration levels and classroom efficiency.

Integrated with STEM robot programming courses, it allows children to maximize their brain potential and comprehensively improve their concentration and learning abilities in a positive learning environment.

Zhiliang Zhichuang was founded by Dr. Kong Xiangzeng, a UK-educated Ph.D., and is a technology company that collects brainwave signals through sensor technology and integrates cutting-edge technologies in machine learning and neuroscience.

The company's R&D team is strong, with 8 doctoral degree holders, 20 master's degree holders, and several well-known experts and professors, including Minjiang Scholars, providing technical support for research and development.

In the era of big data, we closely integrate brainwave technology with artificial intelligence, using martingale theory and hierarchical fusion deep learning algorithms to amplify and extract features from EEG signals. We collect and analyze large amounts of data, with the intelligent technology mainly applied in "AI + Education" and "AI + Healthcare."

Faced with the global trend of intelligent development and its challenges, education must actively and proactively adjust its own development, leveraging the advantages and potential of existing technologies to achieve its function of serving social development.