Machine Learning and Artificial Intelligence for Embedded Systems
Artificial Intelligence has the potential to process high-dimensional data efficiently. We are investigating how the concepts of Deep Neural Networks and Convolutional Neural Networks can be applied to low-power embedded systems.
We also try to incorporate other machine learning techniques into embedded systems and research how these can be used in resource constrained environments.
A more detailed description will follow soon.