Prime Minister’s Award at the fifth Nippon Venture Awards

Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy

FANUC’s new AI functions that utilize machine learning and deep learning

Preferred Networks Creative Project: PFN releases Crypko technology, a character generation platform

Preferred Networks builds MN-2, a state-of-the-art supercomputer powered with NVIDIA GPUs.

Preferred Networks has built Mechano-Workshop, a rapid prototyping facility for developing robotic hands and verifying simulation results in the real world

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

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.