“GPU computing has achieved great success in semiconductor design, simulation, and manufacturing. But as process technology shrinks, the physics is becoming increasingly difficult to simulate. At the same time, the sensor data is growing exponentially. This creates an opportunity for data-driven approaches like deep learning to complement physical models. We look forward to supporting CDLe and their efforts to achieve breakthrough results.”

“In addition to deep learning of big data available from manufacturing, availability of accurate simulation provides an opportunity for training in novel applications. With our commitment and collaboration to form the CDLe, NuFlare looks forward to speeding the time-to-market and use of deep learning to solve the many challenges for electronics manufacturing.”

“Deep learning can provide both novel solutions to existing problems as well as new applications and services to help our customers increase yield, productivity and performance. Establishing the center will provide access to industry expertise and computing resources to accelerate our progress in these areas.”

“GPU-accelerated computing power has fueled the recent growth and wide application of deep learning. …Together, NuFlare and Mycronic represent a very important part of the electronics manufacturing supply chain. We look forward to working with these industry leaders in the formation of the CDLe to advance the use of deep learning technologies for the electronics manufacturing industry.”