Embedded AI & Machine Learninig tracks the evolution of artificial intelligence (AI) in broad industrial markets, including the use of deep neural networks (DNNs), convolutional neural networks (CNNs), recurrent neural networks (RNNs), support vector machines (SVMs), decision trees, and other approaches to autonomous compute intelligence. Focused on AI & ML engineers, coverage includes the use of frameworks such as Caffe, Tensorflow, Torch, and SparkMLib, as well as enabling technologies for AI at the edge such as neural network processors and accelerators.