Watch Ensuring AI/ML Safety in Embedded Systems

AI and ML are revolutionizing safety-critical fields like autonomous vehicles, healthcare, and aerospace. These technologies offer remarkable autonomy and efficiency, but integrating them into resource-limited embedded systems where precision and safety are critical can be a significant challenge.

To mitigate these challenges, it’s critical to implement strategies like model pruning, model freezing, and rigorous adherence to regulatory safety standards like ISO 26262 and IEC 62304.

Watch this webinar to learn about:

• The evolution of embedded systems through AI/ML integration
• Resource limitations and safety risks in critical deployments
• Breakthroughs in hardware and algorithm optimization
• Stabilizing AI/ML behavior for hazard-free operation