News - Preferred Networks, Inc.

2020.07.30

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User ...Read More

News Release

#Chainer #ChainerRL #PFRL #PyTorch #Machine Learning

2020.05.12

Preferred Networks Deepens Collaboration with PyTorch Community

Preferred Networks Deepens Collaboration with PyTorch Community ...Read More

News Release

#Chainer #ChainerRL #Optuna #PyTorch

2019.12.05

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch ...Read More

News Release

#Chainer #CuPy

2019.05.16

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 version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy ...Read More

News Release

#Chainer #CuPy

2019.02.01

Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018

Topics

#Chainer

2018.12.03

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 ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance ...Read More

News Release

#Chainer

2018.10.25

Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy.

Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy. ...Read More

News Release

#Chainer #CuPy

2018.09.07

Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams

Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams ...Read More

#Award #ChainerCV #ChainerMN #Kaggle #cluster

2018.05.17

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018 ...Read More

Topics

#Chainer

2018.04.17

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4. ...Read More

News Release

#Chainer #CuPy

2020.07.30

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User ...Read More

News Release

#Chainer #ChainerRL #PFRL #PyTorch #Machine Learning

2020.05.12

Preferred Networks Deepens Collaboration with PyTorch Community

Preferred Networks Deepens Collaboration with PyTorch Community ...Read More

News Release

#Chainer #ChainerRL #Optuna #PyTorch

2019.12.05

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch ...Read More

News Release

#Chainer #CuPy

2019.05.16

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 version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy ...Read More

News Release

#Chainer #CuPy

2019.02.01

Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018

Topics

#Chainer

2018.12.03

Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance

News Release

#Chainer

2018.10.25

Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy.

Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy. ...Read More

News Release

#Chainer #CuPy

2018.09.07

Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams

Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams ...Read More

#Award #ChainerCV #ChainerMN #Kaggle #cluster

2018.05.17

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018 ...Read More

Topics

#Chainer

2018.04.17

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4. ...Read More

News Release

#Chainer #CuPy

Chainer

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User

Preferred Networks Deepens Collaboration with PyTorch Community

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch

Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy

Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018

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

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.

Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User

Preferred Networks Deepens Collaboration with PyTorch Community

Preferred Networks Migrates its Deep Learning Research Platform to PyTorch

Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy

Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018

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

Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018

Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.

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