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Artificial intelligence (AI) will trigger memory test requirements. AI development continues to heat up, deep learning is one of the fastest growing areas, changing the computer in the real world to watch, listen to and cognitive things, and gradually applied to smart phones, wearable devices and automatic driving Automotive and other fields. There is a growing interest in deep-learning from many chip vendors, which means that the demand for memory on a system-on-a-chip (SoC) will increase significantly, driving memory testing requirements.
Depth learning can help the computer to understand the image, sound and text data, imitate the neural network computing mode, multi-node, hierarchical computing to analyze the characteristics of the image, the lowest nodes only calculate each pixel black and white contrast , The second layer nodes according to the first layer of information to continuous contrast to distinguish between lines and boundaries, with the increasing level of accumulation of computing information more and more complex, you can identify the image and classification.
For the semiconductor industry, the future of depth learning will be applied to various fields, convolutional neural network (CNN) is widely used in the field of image and video recognition. This also means that the SoC for memory demand will increase significantly, the relative importance of the relative increase; there is no doubt that the large amount of data that requires large memory storage space, but also for SoC memory test more challenges.
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