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Researchers at Carnegie Mellon University have developed a method using Wi-Fi routers and a deep neural network called DensePose to sense humans through walls. By mapping Wi-Fi signals to UV coordinates, they create a 3D model of a person's shape and pose without the need for expensive cameras radars. This cost-effective Wi-Fi-based imaging system has applications in home healthcare, offering a privacy-preserving alternative for monitoring well-being, especially in elder care or security. The te
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The particular problem that neural networks solve is when given a dataset of points, with an unknown target function, to approximate this function. Approximating this function will allow you to feed any input into the network and output a prediction, one that can be useful for many real world applications. C: emergent garden (yt) Join our AI community for more posts like this @aibutsimple 🤖 #neuralnetworks #machinelearning #datascience #math
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