White Paper – Reliability Verification for AI and ML Processors

Artificial intelligence and machine learning are seeing growing adoption in a wide range of applications. ICs used for AI/ML applications are characterized by large parallel processing computation units, high power dissipation, and complex circuitry that can deliver maximum performance within a strict power budget.


Artificial intelligence and machine learning are seeing growing adoption in a wide range of applications. ICs used for AI/ML applications are characterized by large parallel processing computation units, high power dissipation, and complex circuitry that can deliver maximum performance within a strict power budget.

Comprehensive reliability verification of these ICs is critical, since failures can have major consequences for the validity and legitimacy of AI/ML technology.

To download, please complete the form on this page. Your download is sponsored by Mentor, a Siemens Business.