• Corpus ID: 202619424

AI Pipeline - bringing AI to you

@inproceedings{Su2019AIP,
  title={AI Pipeline - bringing AI to you},
  author={Jing Su and Noelia V{\'a}llez},
  year={2019}
}

• Jing Su, Noelia Vállez
• Published 2019
• Computer Science

Next generation of embedded Information and Communication Technology (ICT) systems are interconnected collaborative intelligent systems able to perform autonomous tasks. Training and deployment of such systems on Edge devices however require a fine-grained integration of data and tools to achieve high accuracy and overcome functional and non-functional requirements. In this work, we present a modular AI pipeline as an integrating framework to bring data, algorithms and deployment tools together. By these means, we are able to interconnect the different entities or stages of particular systems and provide an end-to-end development of AI products. We demonstrate Figure 1: Companies with end to end solutions outperform the ones unable to follow the complete cyclic process the effectiveness of the AI pipeline by solving an Automatic Speech Recognition challenge and we show that all the steps leading to an end-to-end development for Key-word Spotting tasks: importing, partitioning and pre-processing of speech data, training of different neural network architectures and their deployment on heterogeneous embedded platforms.