The NXP i.MX 8M Plus Applications Processor: Bringing High-Performance Machine Learning to the Edge

2021-11-19
Research into artificial intelligence (AI) has made some mind-blowing strides and expanded the usefulness of computers. Machines can do certain tasks faster and more accurately than humans. A great example is the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). This image classification contest uses a type of AI called machine learning (ML). Back in 2012, AlexNet, a convolutional neural network (CNN), won this contest and was the first to win using deep neural nets and GPUs for training. By 2015, the ResNet-152 neural network beat humans at classifying images.
Computers can also be better than humans at games. Here are a few examples where machines beat human champions along with a non-gaming case where humans are still better.
Machine learning provides amazing new capabilities that a wide range of businesses can leverage today. These new capabilities are also essential for applications such as smart homes, smart retail, smart factories, and smart cities. We can see evidence of increased machine learning use in the dramatic growth of ML cloud services available from providers such as Amazon AWS SageMaker, Microsoft Azure ML and Google Cloud ML engine.

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2020

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