Vision-Language-Action Models Arrive


The AI model type capturing the most attention across robotics and autonomous vehicles right now is the vision-language-action model, or VLA. At embedded AI conferences this year, particularly the recently held Embedded Vision Summit, VLAs were a main topic of discussion – not as a research curiosity, but as the architecture that teams building autonomous systems are actively targeting. If yo... » read more

AI Accelerator Testing Depends On DFT Innovations


Key Takeaways: I/O and lane repair capabilities are becoming critical to improving yield. System-level testing catches marginal defects and rare defects such as silent data corruption errors. Synopsys and TSMC developed a multi-die demo vehicle capable of full test, monitor, debug, and repair capability across the system’s lifecycle. The proliferation of accelerators in AI... » read more

Limiting AI/ML Tools To Ensure Physical AI Safety, Security


Key Takeaways: AI-based tools can help monitor physical AI systems and LLMs, but human oversight is still needed to avoid false positives, bias, and other anomalies. For autonomous vehicles and robots, edge case scenarios and understanding human values are weak points, especially as moral and social values change over time. AI tools are growing and becoming increasingly helpful for c... » read more

Automotive Week In Review


Quick links: Automotive chips, Autonomous, EVs, Batteries, Policy, Research. Automotive chips  Mythic and Honda will jointly develop an automotive-grade AI SoC for Honda’s SDVs that leverages Mythic’s energy-efficient analog compute-in-memory technology. ST released a new MCU with AI acceleration for the automotive edge, integrating an embedded neural network accelerator. I... » read more

Autonomous Driving: Assessment Of YOLO Algorithms (RMIT et al.)


A new technical paper titled "Advances in You Only Look Once (YOLO) algorithms for lane and object detection in autonomous vehicles" was published by RMIT University, Kyungpook National University, Deakin University and the RCA Robotics Laboratory, Royal College of Art. Abstract "Ensuring the safety and efficiency of Autonomous Vehicles (AVs) necessitates highly accurate perception, especia... » read more

Autonomous Driving: Motion Planner Executed on Automotive-Grade Embedded HW (TU Munich)


A new technical paper titled "Towards Safe Autonomous Driving: A Real-Time Motion Planning Algorithm on Embedded Hardware" was published by researchers at TU Munich. Abstract "Ensuring the functional safety of Autonomous Vehicles (AVs) requires motion planning modules that not only operate within strict real-time constraints but also maintain controllability in case of system faults. Exis... » read more

Intrusion Detection Approach for DoS Attacks on Automotive CAN bus (Dumarey Softronix, Politecnico di Torino)


A new technical paper titled "CANDoSA: A Hardware Performance Counter-Based Intrusion Detection System for DoS Attacks on Automotive CAN bus" was published by researchers at Dumarey Softronix and Politecnico di Torino. Abstract "The Controller Area Network (CAN) protocol, essential for automotive embedded systems, lacks inherent security features, making it vulnerable to cyber threats, espe... » read more

Safety Architecture and Approaches for Automotive SW And HW Including ASIL D And AI/ML (Mercedes-Benz, U. Of Washington)


A new technical paper titled "Key Safety Design Overview in AI-driven Autonomous Vehicles" was published by researchers at Mercedes-Benz Research and Development North America and University of Washington . Abstract "With the increasing presence of autonomous SAE level 3 and level 4, which incorporate artificial intelligence software, along with the complex technical challenges they present... » read more

Cyber Threats Multiply With Commercial Chiplets


The commercialization of chiplets will significantly boost the potential for attacks on hardware, requiring a much broader set of security measures and processes at every level of the supply chain, including traceability from initial design to end of life. Much progress has been made in recent years on security measures, including everything from identifying unusual data traffic inside a chi... » read more

How Physical AI Is Redefining The Automotive Industry


The automotive world is experiencing a groundbreaking transformation, with technology and AI-driven innovation at its core. Among the most significant advancements is the rise of physical AI, a concept that is redefining the industry from the ground up. Physical AI goes beyond traditional artificial intelligence by enabling autonomous systems to seamlessly perceive, understand, and interact wit... » read more

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