by Lena Tasse | May 3, 2021
Per Runeson, LU & Christian Kowalkowski, LiU With the emergence of machine learning (ML) techniques into Industry 4.0 applications, increasing volumes of data are required to train ML applications. This project explores novel business models for...
by Lena Tasse | May 3, 2021
Volker Krueger, LU & Per-Erik Forssén, LiU This project will address the areas of sensing, analytics and learning. We will develop a modular adaptable situation-aware approach for perception, such that autonomous robotic systems (ARS) such as autonomous cars or...
by Lena Tasse | May 3, 2021
Andreas Jakobsson, LU & Johan Sanmartin Berglund, BTH This project focuses on the diagnosis and tracking of health conditions that affect patients’ voices, such as Neurocognitive disorders (NCDs) (cognitive decline), pulmonary disorder (COPD), and heart failure...
by Lena Tasse | May 3, 2021
Mats Gustafsson, LU & Magnus Berggren, LiU This project produces a technique for in situ measurements of mm-wave devices enabling rapid verification and testing of 5G and beyond systems with inexpensive and accessible measurement equipment. The technique is made...
by Lena Tasse | May 3, 2021
Håkan Grahn, BTH, Flavius Gruian, LU & Christoph Kessler, LiU AI hardware accelerators are starting to be commonplace today and we foresee they will evolve by integrating more general purpose friendly features, similar to the way GPUs evolved into GPGPUs more than...
