Huawei open-sources TensorFlow competitor MindSpore

INSUBCONTINENT EXCLUSIVE:
Huawei has announced that its framework for AI app development MindSpore is now open source and available on GiHub and Gitee.The lightweight
suite is similar to Google's TensorFlow and Facebook's PyTorch as it lowers the barrier to entry for developers looking to add AI to their
apps.Chief scientist at Huawei MindSpore and an IEEE Fellow, Professor Chen Li explained how MindSpore can scale across devices in a press
release, saying:"MindSpore natively adapts to all scenarios across the device, edge, and cloud
We implement AI Algorithms As Code through on-demand collaboration for easier model development, and provide cutting-edge technologies, and
co-optimization with Huawei Ascend AI processors to improve runtime efficiency and computing performance
We also support other processors such as GPU and CPU."MindSpore already has the backing of a number of partners including the University of
Edinburgh, Peking University, Imperial College London and the robotics startup Milvus.The framework is able to run on processors, graphics
cards and dedicated neural processing units such as the one in Huawei's own Ascend AI chips
MindSpore also has 20 percent fewer lines of codes than other frameworks when dealing with natural language processing models and the
company claims that this leads to an average efficiency boost of 50 percent
Additionally, the framework supports parallel training across hardware as well as dynamic debugging which enables developers to isolate bugs
while taking less time to train AI models.One other interesting thing about MindSpore is the fact that it doesn't process any data on its
own but instead, ingests gradient and model information that has already been processed
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