Infineon’s AURIX TC4x Microcontrollers Achieve SAFE AI Compliance for Embedded Automotive Applications

  • AURIX TC4x microcontrollers from Infineon meet AI safety requirements for automotive applications.
  • Fraunhofer IKS confirms SAFE AI compliance based on ISO PAS 8800 and AI regulations.
  • Functional safety measures ensure compliance with AI standards and identify potential vulnerabilities.
  • Integration of AI models like neural networks enhances accuracy and safety in real-time applications.

Main AI News:

In the dynamic realm of automotive technology, the incorporation of embedded AI capabilities continues to gain prominence, particularly in scenarios demanding real-time safety protocols. This evolution brings about a fresh set of criteria and benchmarks that must be meticulously adhered to throughout the product lifecycle. Infineon Technologies AG has risen to this challenge with its AURIX TC4x microcontroller (MCU) family, which not only meets but exceeds the stringent safety requirements specific to AI. Thanks to its ASIL-D compliant AI-accelerator (PPU), the AURIX TC4x family serves as a pioneering platform for the development of embedded AI-based solutions spanning various automotive applications, including motor control, battery management systems, vehicle motion control, and siren detection.

Fraunhofer IKS’s SAFE AI framework, anchored on ISO PAS 8800 and contemporary AI regulations, stands as a cornerstone for evaluating the reliability of AI systems. By focusing on parameters such as robustness, data utility, operational design domain (ODD), and environmental conditions, this framework ensures a comprehensive assessment of AI trustworthiness. The inherent functional safety features within the AURIX TC4x family provide a robust mechanism for achieving compliance with AI regulations and standards at the application level. Leveraging these capabilities empowers car manufacturers to conduct thorough evaluations of AI solutions, identifying potential vulnerabilities during both the development and operational phases. In safety-critical real-time scenarios, the integration of AI models, particularly neural networks, enhances accuracy and bolsters safety in tandem with physical sensors.

Thomas Boehm, Senior Vice President Microcontroller at Infineon, underscores the significance of seamlessly integrating safe and reliable AI functionality into automotive microcontroller families. He remarks, “The successful completion of the SAFE AI assessment by the Fraunhofer Institute for Cognitive Intelligence for our AURIX TC4x microcontroller underscores our commitment to driving innovation in the industry.

Conclusion:

Infineon’s successful achievement of SAFE AI compliance with its AURIX TC4x microcontrollers underscores a significant advancement in the automotive market. This not only assures car manufacturers of safety, reliability, and regulatory compliance but also signals a leap forward in the integration of embedded AI technology into critical automotive systems. As the industry increasingly emphasizes AI-driven innovations, Infineon’s leadership position in delivering SAFE AI-compliant solutions positions it as a key player in shaping the future of automotive safety and performance.

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