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2017
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Year
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News Release
2017.12.11
Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.
2017.11.14
Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list
2017.11.10
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
2017.10.25
Preventive Maintenance Feature of Injection Molding Machine Using AI (Deep Learning)
2017.10.18
AI (Machine Learning) Improves Wire-cut EDM Accuracy
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
Internship
2017.09.11
Call for application for PFN summer internship 2018 in Tokyo
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
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