MindSpore helps ensure user privacy because it only deals with gradient and model information that has already been processed. It doesn't process the data itself, so private user data can be effectively protected even in cross-scenario environments. In addition, MindSpore has built-in model protection technology to ensure that models are secure and trustworthy.
The MindSpore AI framework is adaptable to all scenarios – across all devices, edge, and cloud environments – and provides on-demand cooperation between them. Its "AI Algorithm As Code" design concept allows developers to develop advanced AI applications with ease and train their models more quickly.
In a typical neural network for natural language processing (NLP), MindSpore has 20% fewer lines of core code than leading frameworks on the market, and it helps developers raise their efficiency by at least 50%.
Through framework innovation, as well as co-optimization of MindSpore and Ascend processors, Huawei can help developers more effectively address complex AI computing challenges and the need for a diverse range of computing power for different applications. This results in stronger performance and more efficient execution. In addition to Ascend processors, MindSpore also supports GPUs, CPUs, and other types of processors.
When introducing MindSpore, Xu emphasized Huawei's commitment to helping build a more robust and vibrant AI ecosystem. "MindSpore will go open source in the first quarter of 2020. We want to drive broader AI adoption and help developers do what they do best."