ModelArts is a one-stop development platform for AI developers. With data preprocessing, semi-automated data labeling, distributed training, automated model building, and on-demand model deployment on the device, edge, and cloud, ModelArts helps AI developers quickly build models and efficiently manage the AI development lifecycle.

 

ModelArts covers all stages of AI development, including data processing and model training and deployment. The underlying technologies of ModelArts support various heterogeneous computing resources, allowing developers to flexibly select and use resources. In addition, ModelArts supports popular open source AI development frameworks such as TensorFlow and MXNet. Developers can also use self-developed algorithm frameworks to match their usage habits. 

 

ModelArts aims to simplify AI development. 

 

Target Audiences: 

- AI developers with varying levels of development experience. 

- Service developers can use ExeML to quickly build AI application without coding. 

- Beginners can directly use built-in algorithms to build AI applications. 

- AI engineers can use multiple development environments to quickly compile code for modeling and application development.

 

Workshop Agenda:

1. Huawei HealthCare EI and Project reference case introduction. (30 minutes) – By Dr. Qiao Nan

2. Basic functions of ModelArts. (20 minutes) – By Tang Xiao Yue

3. Demonstrate the development process of a HealthCare AI project based on ModelArts Notebook Instance (40 minutes) – By Du Qi