News

2018.02.06

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks ...Read More

News Release

#Creative #PaintsChainer

2018.01.31

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems ...Read More

News Release

#FANUC #HITACHI

internship2018summer_Call_for_applications_for_PFN_summer_internship_2018

2018.01.04

Second call for application for PFN summer internship 2018 in Tokyo

Second call for application for PFN summer internship 2018 in Tokyo ...Read More

Internship

#internship

2017.12.11

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co. ...Read More

News Release

#funding

2017.11.14

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list ...Read More

News Release

#cluster #MN-1

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

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 ...Read More

News Release

#Chainer #ChainerMN

2017.10.25

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

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

News Release

#FANUC #manufacturing

2017.10.18

AI (Machine Learning) Improves Wire-cut EDM Accuracy

AI (Machine Learning) Improves Wire-cut EDM Accuracy ...Read More

News Release

#FANUC #manufacturing #Machine Learning

2017.10.17

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

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

News Release

#Chainer #CuPy

2017.09.20

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

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

News Release

#cluster #Chainer #ChainerMN

2018.02.06

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks ...Read More

News Release

#Creative #PaintsChainer

2018.01.31

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems ...Read More

News Release

#FANUC #HITACHI

2018.01.04

Second call for application for PFN summer internship 2018 in Tokyo

Second call for application for PFN summer internship 2018 in Tokyo ...Read More

Internship

#internship

2017.12.11

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co. ...Read More

News Release

#funding

2017.11.14

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list ...Read More

News Release

#cluster #MN-1

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

News Release

#Chainer #ChainerMN

2017.10.25

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

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

News Release

#FANUC #manufacturing

2017.10.18

AI (Machine Learning) Improves Wire-cut EDM Accuracy

AI (Machine Learning) Improves Wire-cut EDM Accuracy ...Read More

News Release

#FANUC #manufacturing #Machine Learning

2017.10.17

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

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

News Release

#Chainer #CuPy

2017.09.20

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

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

News Release

#cluster #Chainer #ChainerMN

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems

Second call for application for PFN summer internship 2018 in Tokyo

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

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

Hakusensha and Hakuhodo DY Digital Announces the Launch of Colorized Manga Products Using PaintsChainer, a Deep Learning Coloring Technology created by Preferred Networks

FANUC, Hitachi, and Preferred Networks to establish a joint venture company for the development of Intelligent Edge Systems

Second call for application for PFN summer internship 2018 in Tokyo

Preferred Networks raises a total of over 2 billion yen from FANUC, Hakuhodo DYHD, Hitachi, Mizuho Bank, and Mitsui & Co.

Preferred Networks’ private supercomputer ranked first in the Japanese industrial supercomputers TOP 500 list

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

Join the PFN team

Join the PFN team

Contact us for inquiries on our products, solutions, R&D and other case studies

Contact us for inquiries on our products, solutions, R&D and other case studies