June 12-13, 2024
There is a growth in “application specific” devices. So instead of developing the next generation of a general purpose microprocessor or microcontroller, many companies are developing application specific processors which are optimized for the desired compute workload especially for data center deployment. At the same time, heterogeneously integrated devices, such as those built with Chiplets, are increasing in size and the number of different use cases (or use patterns) is growing. For all these reasons of increased complexity, greater size, and shorter time to market it is essential to use artificial intelligence, especially machine learning (ML), in the design, packaging, and test of semiconductor devices.