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Machines Can See, Hear and Analyze Thanks to Embedded Neural Networks

February 14, 2018

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The potential applications around artificial intelligence (AI) continue to grow on a daily basis. As the power of different neural network (NN) architectures are tested, tuned and refined to tackle different problems, diverse methods of optimally analyzing data using AI are found. Much of today’s AI applications such as Google Translate and Amazon Alexa’s speech recognition and vision recognition systems leverage the power of the cloud. By relying upon always-on Internet connections, high bandwidth links and web services, the power of AI can be integrated into Internet of Things (IoT) products and smartphone apps. To date, most attention is focused on vision-based AI, partly because it is easy to visualize in news reports and videos, and partly because it is such a human-like activity.

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