Philippe Millet, Thales
Challenges in embedded Artificial Neural Network applications
The advances in Deep Neural Network in the last 5 years have opened interesting perspectives and opportunities in algorithmic. However, from algorithm to implementation, there is a big step and even bigger when the inference of the neural network has to be embedded and match the Size Weight and Power and Cost (SWaPC) constraints.