CQU and Huawei have a longstanding collaboration, highlighted by initiatives like the "Wotu Program" and "Intelligent Pedestal", with a focus on integrating industry and education and digitizing learning. A key component of this partnership is the OpenHarmony Technology Club, which revolves around OpenHarmony, an open-source project under the management of the OpenAtom Foundation. OpenHarmony aims to create a versatile operating system framework for smart devices, contributing significantly to the evolution of a more connected and intelligent era and promoting the growth of the Internet of Things industry. Launched in Beijing in June 2020 by prominent tech companies, including Alibaba, Baidu, and Huawei, the OpenAtom Foundation stands as China's inaugural open-source software foundation, dedicated to supporting the global open-source community.
Chen Haibo, Chairman of the Technical Steering Committee for the OpenHarmony Project Group and Chief Scientist of Huawei Basic Software, highlighted the club's role in enhancing collaboration among industry, academia, and research. The club is committed to fostering a dynamic OpenHarmony ecosystem, addressing technical challenges in the industry, supporting academic research, and contributing to the advancement of technology and industrial standards. Liu Duo, Deputy Dean of the College of Computer Science at CQU and Director of the OpenHarmony Technology Club outlined the club's objectives, which include a focus on OpenHarmony technology, the promotion of open-source innovation, and the creation of essential software.
Liu stated that the club aims to address crucial business and national requirements, establish an open platform, and amplify the application of OpenHarmony across various industries. Additionally, it intends to facilitate collaborations between academic institutions and enterprises, serving as a bridge between science and education. Zheng Weimin, an academician of the Chinese Academy of Engineering and a professor at Tsinghua University, underscored the significance of research in large models within operating systems. He emphasized the need for a robust ecosystem to sustain industry growth, highlighting the imperative to enhance software capabilities, including programming frameworks and AI compilers. This, he argued, would advance the domestic AI ecosystem through the development of a well-established software environment.
