Very Efficient Deep Learning in IoT (VEDLIoT) - project funded by the European Commission

Highly efficient deep learning in IoT ( VEDLIoT ) - a project funded by the European Commission and coordinated by the CoR-Lab of the University of Bielefeld, was launched at the end of 2020, and includes an international research composed of 12 members. VEDLIoT aims to develop a new generation software / hardware platform for the Internet of Things.

Antmicro's contributions, among others, will be to capitalize on its leading position in RISC-V, machine learning and simulation, developing an open-source soft SOC infrastructure based on RISC-V for the project and providing a Renode simulation environment for testing. platform security and robustness.

“As a RISC-V International Strategic Founding Member and an active developer of this open source ISA and its ecosystem, we are glad to be able to contribute to the project with our experience in using FPGA-based RISC-V solutions and simulation.” says Michael Gielda, Antmicro’s VP of Business Development. “VEDLIoT’s objectives align well with those of Antmicro: to enhance IoT and edge AI systems development with open source tools, workflows and platforms”. The company’s flagship open source simulator Renode has broad RISC-V support and will feature a simulated model of the FPGA SoC platform developed by Antmicro as part of VEDLIoT. “

The project, which is still open to contributions, received a grant of EUR 8 million from the EU Horizon 2020 funding program for research and innovation. It is scheduled to be completed by the end of 2023.