AI in the embedded World (Part 2) | SYSGO TechCast
In our second episode, we explore the integration of AI into safety-critical embedded systems, highlighting the difficulties of running AI on resource-constrained platforms, balancing performance with safety and security, and the trade-offs between accuracy and system complexity. We also discuss strategies like model optimization, hardware acceleration, and system partitioning to tackle these challenges effectively.
Moreover, this episode emphasizes the importance of ensuring transparent decision-making and compliance with safety standards to build a connected future that's both safe and secure, while navigating the complexities of AI certification and deployment.
▬ About SYSGO ▬▬▬▬▬▬▬▬▬▬▬▬
SYSGO is the leading European provider of embedded operating systems for safety- and security-critical applications in aerospace, automotive, railway and industrial IoT.
Our flagship product PikeOS is the world’s first SIL 4 certified real-time operating system with multi-core support. As a Type 1 hypervisor running directly on hardware, PikeOS is certified according to major safety standards including DO-178C, ECSS, IEC 61508, EN 50128 and ISO 26262.
For security-critical systems, the PikeOS separation kernel is certified to Common Criteria EAL5+. Its fully certified programming interface supports application development following the “Safe & Secure by Design” principle.
For less critical systems, ELinOS provides an industrial-grade Linux distribution with real-time extensions for embedded platforms.
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