Morgan & Claypool Publishers

This book, a revised dissertation of the 2014 ACM Dissertation Award, proposes an architecture for cluster computing systems that can tackle emerging data processing workloads at scale. http://bit.ly/440NCnR
Author: Matei Zaharia, MIT and Databricks. ACM - Association for Computing Machinery

This second volume of the handbook begins with multimodal signal processing, architectures, and machinelearning. Includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, context-sensitivity. https://bit.ly/42fikse
Authors: Sharon Oviatt, Incaa Designs,
Bjoern Schuller, University of Passau and Imperial College London,
Philip R. Cohen, VoiceBox Technologies,
Daniel Sonntag, German Research Center for Artificial Intelligence,
Gerasimos Potamianos, University of Thessaly,
Antonio Kruger, German Research Center for Artificial Intelligence.

The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations (ACM Books) The Handbook of Multimodal-Multisensor Interfaces, Volume 1: Foundations, User Modeling, and Common Modality Combinations (ACM Books)