Smart Test Collides With The Data Chain


Key Takeaways: The promise of smart test is a data-chain problem before it is an algorithm problem. A device can pass every checkpoint and still carry a latent defect the test record never captured. As test grows more adaptive, the validity of the measurement environment matters as much as the measurement itself. For years, the test roadmap has pointed toward more adaptive f... » read more

Hybrid Approach Emerges For Edge/Cloud Inspection Of Chips


An explosion in data from inspection images and metrology measurements is creating a confusing set of demands for chipmakers and their equipment vendors. On one hand they need the massive storage and compute resources of the cloud to utilize AI/ML-based models, but they also need the faster response time of the edge to make adjustments at the tool level. Balancing these requirements is a mas... » read more

Flipping Processor Design On Its Head


AI is changing processor design in fundamental ways, combining customized processing elements for specific AI workloads with more traditional processors for other tasks. But the tradeoffs are increasingly confusing, complex, and challenging to manage. For example, workloads can change faster than the time it takes to churn out customized designs. In addition, the AI-specific processes may ex... » read more