ONNX
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Facebook is open-sourcing its most powerful AI tools yet
Facebook is continuing its push to more openly share its AI research and code with the release of PyTorch 1.0 -- a deep-learning system that Facebook says represents a "fundamental shift" in open source AI frameworks. Traditionally, taking AI development from research to production has been a complex and time-intensive task involving multiple steps and various tools. PyTorch 1.0 has been designed to optimize the process.
Microsoft and Facebook's open AI ecosystem gains more support
Artificial intelligence has helped jump start everything from self-driving cars to soft robotics. As if that wasn't enough, it's also tearing down language barriers to bring the world closer together. But, at the same time, machine learning is dealing with its own, self-constructed walls. Last month, Facebook and Microsoft came together to target a major roadblock -- specifically the process of switching between machine learning frameworks, such as PyTorch and Caffe2. Their solution: An open-source AI ecosystem dubbed ONNX (or Open Neural Network Exchange), which allows developers to jump between AI engines at various stages of development. The tech titans claimed the Exchange would make machine learning "more accessible and valuable for everyone." And, they've apparently had no qualms in recruiting other big-name firms to help out. The latest additions to ONNX include IBM, Huawei, Intel, AMD, Arm, and Qualcomm -- companies that (to varying degrees) are also working within the field of AI.
