News

VEDLIoT is closely collaborating with the Bielefeld-Paderborn Joint Artificial Intelligence Institute - JAII and it's related projects. The goal of JAII is to lay the foundations for human-centered AI systems that act as competent partners and feature real-world...

The Next-generation AIoT applications – VEDLIoT-Open Call is now active! The VEDLIoT-Open call for cascaded funding is foreseen to explore new opportunities by extending the application of the VEDLIoT platform to a more extensive set of new and relevant use cases. It...

Check on Google Open Source Blog a republishing of the Boosting Machine Learning with tailored accelerators: Custom Function Units in Renode, by Antmicro. CFU integration in Renode is already used in practice in the VEDLIoT project. VEDLIoT will use Renode to develop...

We are happy to announce the acceptance of the VEDLIoT paper submitted to the Design, Automation and Test in Europe Conference (DATE 2022). The paper, entitled "VEDLIoT: Very Efficient Deep Learning in IoT", will be presented at the conference as a full Multi-Partner...

Antmicro developed a library aiming to simplify the workflow with machine learning applications on edge devices called Kenning. Based on a variety of practical edge AI use cases that we are working with on a daily basis, we have now expanded its functionality to...

Veoneer is creating a data set for pedestrian detections, including varying poses and trajectories of the pedestrian as well as varying weather conditions. The data set will be utilised by the VEDLIoT project to demonstrate the benefits of distributed deep learning...

VEDLIoT contributed once again to the EU-IoT Training Workshops Series, this time with a session on "Next Generation IoT Architectures”. The VEDLIoT presentation at the workshop, entitled "VEDLIoT Toolchain for Efficient Deep Learning on heterogeneous hardware”, was...

Late June this year, Antmicro published an article explaining The Kenning framework developed within the VEDLIoT project. Kenning is a new ML framework developed by Antmicro for testing and deploying deep learning applications on the edge. “Kenning” is an Old Norse...

We are happy to announce that our colleagues from LASIGE, at the Faculty of Sciences of the University of Lisbon, won the best paper award at SRDS'21 for a paper that they co-authored, entitled "Making Reads in BFT State Machine Replication Fast, Linearizable, and...

VEDLIoT is now present on slideshare! Follow us to get to know our project presentations. Find out more here.