Reliability Verification for AI and ML Processors

Whitepaper Overview 

The number and range of applications that benefit from new technologies such as artificial intelligence (AI) and machine learning (ML) are increasing. This is due primarily to the improvement in algorithms, advancements in hardware design, and the increase in data volume created by digitization of information.

The integrated circuits (ICs) used in AI and 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. 

Ensuring the reliable design and verification of these complex ICs is critical since circuit failures in these chips can have major consequences for the validity of the technology and legitimacy of the results they provide.

In this whitepaper from Mentor, a Siemens Business, learn more about the importance of reliability and verification when it comes to ICs used in AI and ML applications.