研究成果 [2018]|NTT先端集積デバイス研究所|NTT R&D Website
-Message Size Allreduce at Wire Speed for Distributed Deep Learning” in Proceedings of Supercomputing
https://www.rd.ntt/dtl/technology/publications2018.html
Report on the NTT R&D Forum 2020|NTT R&D Website
distributed deep learning for edge computing (A20)" presented techniques and demos for securely optimizing
https://www.rd.ntt/e/forum/2020/
Human Information Science Laboratory | NTT Communication Science Laboratories | NTT R&D Website
facilitates intermanual transfer of visuomotor force learning by a cognitive strategy. Journal of
https://www.rd.ntt/e/cs/team_project/human/
NTT R&D Forum - Road to IOWN 2022|NTT R&D Website
learning Powerful NW-AI grows with autonomous generation/learning of failures N-E17IOWN EvolutionOptical
https://www.rd.ntt/e/forum/2022/exhibit.html
Interview with Yoji Yamato, Distinguished Researcher|NTT R&D Website
at topics such as deep learning analysis, Fourier transforms and image analysis, and achieved
https://www.rd.ntt/e/network/0005.html
音声情報処理 | NTT R&D Website
, Takafumi Moriya, "Learning to Enhance or Not: Neural Network-Based Switching of Enhanced and Observed
https://www.rd.ntt/hil/category/voice/
Report on the NTT R&D Forum — Road to IOWN 2022|NTT R&D Website
. The AI boom is supported by deep learning technology. Its many layers of neural networks learn from a
https://www.rd.ntt/e/forum/2022/keynote_2.html
oh2017_booklet.pdf
部 Generative personal assistance with audio and visual examples Deep learning opens the way to
https://www.rd.ntt/cs/event/openhouse/2017/download/oh2017_booklet.pdf
人間情報研究部|NTTコミュニケーション科学基礎研究所|NTT R&D Website
についての勉強会 / 応用脳科学アカデミー / Shiseido Learning Festival / いのちの祭り2024でワークショップ / 第21回生理学若手サマースクール 研究内容 「聞く」と「話す
https://www.rd.ntt/cs/team_project/human/
Report on the NTT R&D Forum 2018 (Autumn) | NTT R&D Website
seconds are sufficient. We use a deep learning based AI system trained on a broad range of Japanese audio
https://www.rd.ntt/e/forum/forum2018_autumn.html
What is Digital Twin Computing?|NTT R&D Website
synthesizing speech signals with appropriate pitch and speed. Deep learning based on speaker voice data is
https://www.rd.ntt/e/iown/0003.html
Toshimori Honjo, Ph.D.
processing platform, and deep learning as a data analysis method. In 2016, he moved back to NTT Basic
https://www.rd.ntt/brl/people/honjo/
中野 雄介
., Nakano, Y., and Watanabe, K.: Dividing Deep Learning Model for Continuous Anomaly Detection of
https://www.rd.ntt/ns/qos/person/y_nakano/
Our Approach to the Use and R&D of AI|NTT R&D Website
such as deep learning, and it will soon be solving everyday problems of various kinds and scales
https://www.rd.ntt/e/ai/0005.html
Position under active recruitment: Research and development of technologies for forecasting the future of the global environment|Careers|NTT Space Environment and Energy Laboratories|NTT R&D Website
) Research experience in physical simulation using numerical analysis and deep learning Research experience
https://www.rd.ntt/e/se/recruitment/focus07.html
PowerPoint プレゼンテーション
Images and Citizen Reports by Deep Neural Net- work.” Proceedings of the Second International Conference
https://www.rd.ntt/_assets/pdf/sic/event/2017/70/05-nakazawa.pdf
障害に強いロバストネットワーク実現のためのNW-AI自己進化フレームワーク | NTT R&D Website
. Watanabe:“A Framework for Automatic Failure Recovery in ICT Systems by Deep Reinforcement Learning,”IEEE
https://www.rd.ntt/research/JN202310_23448.html
Publications [2019] | NTT Device Technology Laboratories | NTT R&D Website
testing time” in Proceedings of SPIEOpticalMetrology, 2019/6. K. Tanaka et al., “Distributed Deep Learning
https://www.rd.ntt/e/dtl/technology/publications2019.html
R&D History | NTT R&D Website
based on deep learning. Implemented NetroSphere, a radical new R&D concept that transforms the career
https://www.rd.ntt/e/about/chronicle/
研究成果 [2019]|NTT先端集積デバイス研究所|NTT R&D Website
., “Distributed Deep Learning with FPGA Ring Allreduce” in Proceedings of International Supercomputing Conference
https://www.rd.ntt/dtl/technology/publications2019.html