March 27, 2026

VeNIT Lab Represents Türkiye in the Horizon Europe “Software Defined Vehicle – SDV” Project

VeNIT Lab (Marmara University) will contribute significantly on behalf of Türkiye to the project “RISC-V Generation of High-Performance Automotive Processors and Computing Platforms”, supported by the European Union’s Horizon Europe programme under CHIPS JU.
This project aims to shape the future of intelligent and autonomous vehicle platforms through critical R&D activities within the Software Defined Vehicles (SDV) paradigm.

The rapid advancement of electrification and autonomous driving technologies requires a substantial increase in in-vehicle computing capacity. The traditional distributed Electronic Control Unit (ECU) architecture faces serious limitations in terms of scalability. This project addresses these challenges by developing next-generation RISC-V-based automotive hardware platforms, strengthening Europe’s leadership in automotive electronics.

Contributions of VeNIT Lab (Marmara University)

Within the scope of the project, VeNIT Lab focuses on enhancing the performance of RISC-V-based automotive processors through the development of AI/ML-based algorithms and software tools for AI/ML accelerators.

Key Contributions:

✅ Optimization for RISC-V-based AI/ML accelerators: Development of customized AI algorithms for anomaly detection and condition monitoring, targeting over 90% accuracy.
✅ AI/ML workload management: Development of software tools to monitor AI workloads and analyze performance metrics such as latency, power consumption, and reliability.
✅ Simulation and modeling: Design of simulation models to predict the performance of AI/ML accelerators under different hardware configurations.
✅ AI accelerator architecture research: Investigation of various hardware architectures such as GPUs, VPUs, digital in-memory computing (D-IMC), and systolic arrays for AI workloads.
✅ System integration and testing: Integration of developed AI algorithms with RISC-V ML accelerators and validation of hardware–software compatibility.
✅ Automotive use cases and validation: Development of AI-based solutions for automotive applications, including anomaly detection, advanced driver-assistance systems (ADAS), and in-vehicle communication systems.

Türkiye Consortium Leadership

The Türkiye consortium of this project is led by Marmara University – VeNIT Lab. Assoc. Prof. Mujdat Soyturk, Director of VeNIT Lab, is leading the project on behalf of Marmara University and coordinating the Turkish partners. From Türkiye, Yongatek and TÜBİTAK BİLGEM also contribute to the project, particularly in hardware and accelerator design.

This project is expected to significantly strengthen Türkiye’s position in artificial intelligence, automotive technologies, and open-source processor ecosystems, enabling stronger competitiveness at the European level.

As VeNIT Lab and Marmara University, we are proud to be part of this important initiative and to lead the Türkiye consortium!