Preferred Networks (PFN) was established in March 2014 with the goal to develop practical, real-world applications of deep learning, robotics and other advanced technologies. PFN’s business domains include transportation, manufacturing, life sciences, robots, plant optimization, materials discovery, education and entertainment. In 2015, PFN developed Chainer™, the open-source deep learning framework. PFN’s MN-3 supercomputer, which is equipped with the MN-Core™ deep learning processor, topped the Green500 list three times in 2020 and 2021.

Manufacturing

Robotics

Preferred Networks, Inc.

Toru Nishikawa

Shunichi Ozawa

Hiroyuki Kobayashi

Ko Maruyama

Daisuke Tanaka

Yusuke Doi

Soshi Watanabe

S Ishiyama

Tetsuya Shiota

The Engineering Team at Preferred Networks, Inc. is responsible for developing and implementing advanced technologies, such as deep learning, robotics, and AI, across various business domains including transportation, manufacturing, life sciences, and more. They work on cutting-edge projects, such as the Chainer™ deep learning framework and the MN-3 supercomputer, to deliver innovative solutions and optimize system performance. The team collaborates with other departments to ensure the practical application and integration of these advanced technologies into real-world scenarios.

Engineering Team

Leadership Team

Research Team

Engineering Team

About

Team members

Other teams at Preferred Networks, Inc.

Leadership Team

Research Team