In 2017, the Supremind AI team launched the ATOM deep learning platform. After years of optimization and iteration, the ATOM deep learning platform has become a stable and efficient AI model development tool for over 1,000 algorithm scientists and faculty and students from dozens of universities.
As the core component of Supremind's AI industrialization system, the ATOM deep learning platform continuously integrates and optimizes the toolchain, enabling automation and pipelining of model production iteration, visualization of model debugging, and systematization of development and testing.
In addition, ATOM provides users with a series of engineering tools for AI model development, such as data management, annotation systems, training management, and model management, which can significantly improve the efficiency of video algorithm research and development.
With the ATOM deep learning platform, research teams can continuously and rapidly produce algorithm models that can fully withstand practical tests, solve video AI application problems, and ultimately help humanity expand its cognitive ability of the world.
The ATOM productivity tool platform is the result of Supremind's AI Research Institute's long - term R & D process, marking the complete manifestation of Supremind's high - efficiency automated production system. The platform covers a complete set of production processes based on deep learning, including:
The ATOM productivity tool platform is a cloud - based product, which uses a multi - cloud integration approach to ensure the stability of services and the security of underlying data. Each business module of ATOM is independently built according to a decoupled design. It can be connected into a complete set of standardized production processes or used independently to empower special use cases. ATOM's AC ensures the isolation of organizational data and the security of user data, providing a guarantee for ATOM to be open to multiple organizations and users.
The work of AI should first be enjoyable. As a platform used by algorithm scientists, ATOM is not only an efficient development tool but also a paradise for learning and growth. We are constantly improving the tool - based attributes of the "Scientists' Paradise" to make algorithm development easier, smarter, and more interesting.
The work of AI should first be enjoyable. As a platform used by algorithm scientists, ATOM is not only an efficient development tool but also a paradise for learning and growth. We are constantly improving the tool - based attributes of the "Scientists' Paradise" to make algorithm development easier, smarter, and more interesting.
Since the launch of the ATOM platform, more than 300 algorithm models have been trained in total. Different from common image algorithms, we focus on the research and development of video - stream - based algorithms, including target detection and tracking, video structuring, and abnormal event recognition, and have successfully launched applications in five fields: intelligent transportation, urban passenger flow management, environmental governance, post management, and Internet content security.
