With the maturity of deep learning technology, AI artificial intelligence is gradually becoming popular from cutting-edge technology. Computers acquire audio and video perception through speech recognition, image recognition, reading knowledge base, human-computer interaction, and physical sensing. Enter and then learn from big data to get a brain with decision making and creativity. However, this is a big project. He does not need a company to complete it. He needs more cooperation.
In September, Microsoft and Facebook released a new open source project, ONNX, to create an open ecosystem of deep learning tools. The goal of the project is to enable interoperability of different neural network development frameworks. For more information, see Facebook and Microsoft jointly launch the ONNX standard, claiming to address the development framework fragmentation.
Earlier, Microsoft CogniTIve Toolkit, PyTorch, and Caffe2 have announced support for ONNX. Just today, AMD, ARM, Huawei, IBM, Intel, and Qualcomm also announced support for ONNX.
Like Facebook and Microsoft, these companies recognize the convenience that ONNX open source systems provide to engineers and researchers, allowing researchers to easily switch between current state-of-the-art machine learning tools and choose the best combination for the project. the way. At the same time, ONNX can make it easier for more developers to optimize.
Any tool that supports the ONNX model can benefit because ONNX is compatible with different runtimes and libraries and is designed to maximize the performance of the industry's best artificial intelligence hardware.
Facebook said that ONNX is an important part of their approach to deep learning in the artificial intelligence team. They have been working to promote the cutting edge of artificial intelligence and develop better learning algorithms. Once new breakthroughs are discovered, they will try to deliver this state of the art technology to the entire team as quickly as possible. Once they have ONNX, they can focus on bringing together a large number of artificial intelligence-related research and products to enable faster innovation and related research.
Facebook also said that it is very pleased that Huawei, Intel, Qualcomm and other companies have joined the ONNX open system, and they are also inviting other companies to join the ONNX ecosystem. ONNX supports interoperability between different frameworks and simplifies operations from research to production, which will help to increase the speed of innovation in artificial intelligence research.
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