Preferred Networks achieved the world’s fastest training time in deep learning, completed training on ImageNet in 15 minutes,using the distributed learning package ChainerMN and a large-scale parallel computer

Preventive Maintenance Feature of Injection Molding Machine Using AI (Deep Learning)

AI (Machine Learning) Improves Wire-cut EDM Accuracy

Preferred Networks released open source deep learning framework Chainer v3 and NVIDIA GPU array calculation library CuPy v2

Preferred Networks Launches one of Japan’s Most Powerful Private Sector Supercomputers

Preferred Networks officially released ChainerMN version 1.0.0, a multi-node distributed learning package, making it even faster with stablized data-parallel core functions

Regarding the additional investment made by Toyota Motor Corporation announced on August 4.

Preferred Networks received about 10.5 billion yen in investments from Toyota Motor Corporation

Preferred Networks recieved the “Emerging Leader Award” at the 2017 Japan-U.S. Innovation Award

Preferred Networks appoints Professor Pieter Abbeel of UC Berkeley as a Technical Advisor

Preferred Networks released Version 2 of Chainer, an Open Source framework for Deep Learning

Drawing app “pixiv Sketch” and automatic coloring service “PaintsChainer” collaborate to provide a new function for automatic coloring of illustrations!