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4 HARDWARE DESIGN 5 SOFTWARE SYSTEMS ENGINEERING 6 EMBEDDED VISION 7 EDGE AI 4 6 RISC-V Development Ecosystem – powered by RISC-V Foundation 5 4 Robust Software Architectures 5 13 Test Processes and Strategies 6 2 Embedded Vision Use Cases – powered by Edge AI Vision Alliance 7 4 Hardware for Edge AI Moving to RISC-V Is it Really that Difficult? Designing Software to be Futureproof Hugh Breslin Microchip Technology The Role of Reusable Software Components in Safety-Critical Software Development Ehsan Salehi LDRA 20 Years of Embedded Linux Quality Testing – Lessons Learned Alexander Bähr Open Source Automation Development Lab OSADL YOLOX Networks in Embedded Vision Novel Tiled Training and One-Shot Inference for Small Object Detection Quality Inspection and Deployment Marco Roggero The MathWorks Channeling AI to Revolutionize Semiconductor Dynamics Dr Marco Addino Accenture Transforming the RISC-V Landscape The Path to Ecosystem Alignment Angel Berrio Quintauris From Defense to Offense A Paradigm Shift in Error Handling Tyler Hoffman Memfault Qualification of AI for Embedded Systems Testing Accelerating DevSecOps Workflows Rainer Poisel honeytreeLabs OpenVX for Automotive Accelerating Vision Processing Across Diverse Sensors Raphel Cano Robert Bosch Multidie Design for Edge AI Applications Hezi Saar Synopsys How to Enable RISC-V Processor Customization without Reverifying the Whole Processor Dr Zdenek Prikryl Codasip Embedded Software Development for Complex Systemon-Chip SoC Architectures Marcus Nissemark Green Hills Software Software Integration Testing for Functional Safety Jeffrey Fortin Vector Informatik Intelligent Glasses for Kids’ Screentime Tracking Daniel Rossbach Hahn-Schickard Gesellschaft für Angewandte Forschung e V Multiinstance Machine Learning Models on Limited Hardware Resources Bartosz Boryna STMicroelectronics Discussion Q A Discussion Q A Discussion Q A Discussion Q A Discussion Q A Lunch Break 4 7 RISC-V System Design – powered by RISC-V Foundation 5 5 Artificial Intelligence AI Algorithms 5 14 Software Product Quality 6 3 AI in Embedded Vision Applications – powered by Edge AI Vision Alliance 7 5 Frameworks for Edge AI CVA6 MMUless Virtualization – From Hardware to Software and Vice Versa Dr Sandro Pinto Universidade do Minho Zero-Day Labs Optimizing Implementation of AI Algorithms in Automotive Products Petri Solanti Siemens EDA Why Model Based Development Alone is not Sufficient to Ensure Safety and Security in Critical Embedded Software? Mark Richardson LDRA Deploying Vision-Language Model Applications Efficiently on Embedded Devices Amit Badlani Ambarella Bringing Machine Learning to Embedded Devices with ExecuTorch Mark Quartermain Arm Wearable Biomarker Processing using Speckle Plethysmography Based on an Embedded RISC-V ASIP Carsten Rolfes Fraunhofer IMS Ensuring Safety in AI ML-Driven Embedded Systems Ricardo Camacho Parasoft Virtual ECUs Redefining Scalability and Efficiency in Embedded Software Development Debugging and Testing Matthias Scheid TASKING Germany State-Space Language Models for Visual Language Tasks Advancing Efficiency in Embedded Visual Systems Bram-Ernst Verhoef AXELERA AI Bridging the TinyML Language Gap with MicroPython and Emlearn Jon Nordby Soundsensing The Benefit of RISC-Vfor Machine Learning Applications Itai Yarom MIPS Using Intermediate Representations to Comprehend Embedded Software and Power Retrieval Augmented Generation Daniel Hensley Driver AI Importance of Control Coupling Analysis in Certifying Safety Multicore Systems Ehsan Salehi LDRA Fast Online Recognition of Gestures using Hardware Efficient Spatiotemporal Convolutional Networks via Codesign Dr Anthony Lewis Brainchip Tiny AI for Safety-Critical Embedded Systems Jonas Messner Robert Bosch Discussion Q A Discussion Q A Discussion Q A Discussion Q A Discussion Q A Coffee Break 4 8 Memory Test for Zero Defect 5 6 Debugging Software Systems 5 15 Test Automation 6 4 Embedded Vision Interfaces 7 6 Smart Sensing Based on Edge AI An Easy RTL Approach to Boost up IP Subsystem Scan Test Coverage Shanshan Zhou Synopsys Comparing Debugging Strategies to Enhance System Reliability Dr Carmelo Loiacono Green Hills Software Overcoming Challenges Deploying GoogleTest Unit Testing Frameworks for C C++ Embedded Software Compliance Miroslaw Zielinski Parasoft Kamaros – The Embedded Camera Open API Standard from Khronos Laurent Pinchart Ideas on Board Khronos Group Sensor Hub for Near-Sensor Lowlatency Data Fusion in AI System Dr Hoon Choi Lattice Semiconductor Silent Data Corruption SDC and No Trouble Found NTF Ways of Improving Industrial Semiconductor Test Towards 0ppm Prof Dr Peter Poechmueller Neumonda Highest Availability Needs Infield Debugging Dr Albrecht Mayer Infineon Technologies Lessons Learned from Automated Testing of Embedded Devices Leonardo Held Toradex Migrating to COM Express for Rapid NPI Jeff Baldwin Sealevel Systems AIbased IoT Sensors with Autoencoders Kolja Bohne SSV Software Systems Errors to Avoid to Ensure Your Storage Media Lasts as Long as Your Device Thom Denholm Tuxera Everything You [N]ever Wanted to Know About Hardware Tracing – Utilizing Your Microcontroller s Trace Capabilities for Maximum Timing Insights Harald Paschke TASKING Germany Integration Tests for Embedded Linux in CI Labgrid as the Foundation for Your Testing Workflow on Series Hardware Chris Fiege Pengutronix Precision Time Synchronization over MIPI Interfaces Case Study Roman Mostinski Mobileye Where Analog Signal Chains Meet the AI World Dr Andrei Cozma Analog Devices Discussion Q A Discussion Q A Discussion Q A Discussion Q A Discussion Q A Conference Program Wednesday 12 March www embeddedworld eu