Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy
Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance
Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy.
Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams
Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.
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
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