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Year
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2017.10.17
Preferred Networks released open source deep learning framework Chainer v3 and NVIDIA GPU array calculation library CuPy v2
2017.09.20
Preferred Networks Launches one of Japan’s Most Powerful Private Sector Supercomputers
2017.09.01
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
2017.08.09
Regarding the additional investment made by Toyota Motor Corporation announced on August 4.
2017.08.04
Preferred Networks received about 10.5 billion yen in investments from Toyota Motor Corporation
2017.07.28
Preferred Networks recieved the “Emerging Leader Award” at the 2017 Japan-U.S. Innovation Award
2017.07.24
Preferred Networks appoints Professor Pieter Abbeel of UC Berkeley as a Technical Advisor
2017.06.02
Preferred Networks released Version 2 of Chainer, an Open Source framework for Deep Learning
2017.05.24
Drawing app “pixiv Sketch” and automatic coloring service “PaintsChainer” collaborate to provide a new function for automatic coloring of illustrations!
2017.05.23
Preferred Networks and Microsoft have a strategic collaboration in the field of deep learning solutions
2017.05.09
Preferred Networks released ChainerMN, a multi-node extension to Chainer, an open source framework for deep learning
2017.04.06
Intel and Preferred Networks collaborate to jointly develop Chainer, deep learning open source framework
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