Preferred Networks appoints Professor Kenji Fukumizu of the Institute of Statistical Mathematics as a Technical Advisor

Preferred Networks develops a custom deep learning processor MN-Core for use in MN-3, a new large-scale cluster, in spring 2020

Preferred Networks releases the beta version of Optuna, an automatic hyperparameter optimization framework for machine learning, as open-source software

Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance

Summer Internship 2019 for students from outside of Japan

Mitsui and Preferred Networks to Establish Joint Venture to Provide Biomedical/Healthcare Solutions, Including Cancer Diagnostic Service, Based on Deep Learning Technology

Preferred Networks and PFDeNA launch joint research project to develop a deep learning-based system to detect 14 types of cancers with a small amount of blood

Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy.

Preferred Networks unveils a personal robot system at CEATEC Japan 2018, exhibiting fully-autonomous tidying-up robots

Preferred Networks hired Professor Takeo Igarashi of The University of Tokyo as a Technical Advisor

Preferred Networks releases deep learning-based, high-precision, visual inspection software

Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams