20 Mar '17, 11pm

Defining (artificial) intelligence at the edge for IoT systems

Defining (artificial) intelligence at the edge for IoT systems

As more IoT devices come online, machine intelligence will increasingly be classified as a system’s ability to ingest information from its ambient environment via sensor inputs before taking immediate, autonomous action – even in the event that the readings associated with those inputs have not been encountered before or exist outside of the parameters defined by programmers during system development. To date, this type of intelligence has largely been the domain of computer vision (CV) applications such as object recognition, where a growing number of machine learning development libraries like Caffe , TensorFlow , and Torch have enabled the creation of models used in the training and inferencing of deep and convolutional neural networks (DNNs/CNNs). While artificial intelligence (AI ) technology is thus far still in its infancy, its benefits for advanced driver assistanc...

Full article: http://embedded-computing.com/31788-defining-artificial-i...

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via @ElectronicDesgn

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IoT

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