Our Mission

Ajay Baranwal
Mike Meyer

The Center for Deep Learning in Electronics Manufacturing (CDLe) is an alliance of leaders.

We have come together to pool talent and resources to advance the state-of-the-art in deep learning for our unique problem space and to accelerate the adoption of deep learning in each of our company’s products to improve our respective offerings for our customers.

“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.”

Jerry Chen

Business Development Lead for Industrial Applications

“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.”

Hirokazu Yamada

Director Mask Lithography Division


About Deep Learning in Electronics Manufacturing

Aki Fujimura and Steve Teig talk about Deep Learning

“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.”

Johan Franzén

Sr. Vice President R&D


“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.”

Aki Fujimura