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 Research Team at Preferred Networks, Inc. focuses on advancing the company's core technologies, including deep learning, robotics, and advanced AI applications. Comprised of experts in various fields, the team conducts cutting-edge research to develop innovative solutions in transportation, manufacturing, life sciences, and more. Their work supports the development and optimization of PFN’s products, like the Chainer™ framework and MN-Core™ deep learning processor.

Research Team

Engineering Team

Leadership Team

Research Team

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Other teams at Preferred Networks, Inc.

Engineering Team

Leadership Team