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
Demonstration of a high performance optical logic gate for ultralow-latency data processing|NTT Basic Research Laboratories | NTT R&D Website
... Neural network accelerators High efficiency and high speed processors specialized for some deep learning
https://www.rd.ntt/e/brl/latesttopics/2020/03/latest_topics_202003061859.html
The Future of Photonics-electronics Convergence Technologies and Super Computers | NTT R&D Website
that at some point we might not be able to acquire more. For deep learning, we had ideal workloads
https://www.rd.ntt/e/forum/2024/panel_discussion_2.html
NTTBrl_honbun_E_190306.indd
Development of soft material composites for measurement of deep biological information Interface Interaction
https://www.rd.ntt/e/brl/result/activities/file/annual_report/Annual_report_2018_E.pdf
Network Virtualization Technology for an NFV Infrastructure to Drive Innovation in the Network | NTT R&D Website
, a high-performance machine would be necessary to run artificial intelligence or deep learning
https://www.rd.ntt/e/research/JN202303_21277.html
0058.pdf
expresstheir deep gratitudeto Prof. K. Sakaniwa of Tokyo Instituteof Technology for fruitful discussions. 6
https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0058.pdf
socialsystem_wellbeing_report2022.pdf
義塾大学大学院 システムデザイン・マネジメント研究科教授白坂成功 Column 3 Commons ケアとコモンズからみる、人間以上の well-being 社会へ向けて一般社団法人 Deep Care
https://www.rd.ntt/sil/project/column/socialsystem_wellbeing_report2022.pdf
Complete_Program_r1.pdf
of Tsukuba PTu34:Engineering Quantum Dynamics with Periodic Driving and Deep Reinforcement Learning T
https://www.rd.ntt/brl/event/isntt2019/download/Complete_Program_r1.pdf
Report on the NTT R&D Forum 2021|NTT R&D Website
comfort simultaneously, all using climate control scenarios calculated with deep reinforcement learning
https://www.rd.ntt/e/forum/2021/
OH2020冊子
,“Edge-consensus learning: deep learning on P2P networks with nonhomogeneous data,” submitted to KDD 2020
https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet.pdf
Annual_report_2020_E.pdf
application of bioelectrode materials for measurement of deep biological information Bio-devices Creat ion of
https://www.rd.ntt/e/brl/result/activities/file/annual_report/Annual_report_2020_E.pdf
oh2016_booklet.pdf
speech recognizers Advances in deep learning and signal processing that are making speech recognition
https://www.rd.ntt/cs/event/openhouse/2016/download/oh2016_booklet.pdf
NTTBrl_honbun_E_220301-2.indd
and plasmons, we can control light in structures that are as large as the wavelength of light or deep
https://www.rd.ntt/e/brl/result/activities/file/annual_report/Annual_report_2021_E.pdf
Publications | NTT Basic Research Laboratories | NTT R&D Website
-54 (1995). H. Murase and S. K. Nayar "Visual Learning And Recognition Of 3-D Objects From Appearance
https://www.rd.ntt/e/brl/result/publications/paper_1995.html
論文|NTT物性科学基礎研究所|NTT R&D Website
. Comput. Jpn. 26 (8), 45-54 (1995). H. Murase and S. K. Nayar "Visual Learning And Recognition Of 3-D
https://www.rd.ntt/brl/result/publications/paper_1995.html
List of Exhibitions | NTT R&D Website
planning We will implement efficient dispatch using deep reinforcement learning and a high-efficiency EV
https://www.rd.ntt/e/forum/2024/exhibit.html
Microsoft Word - DTC reference model_ver.2.0.docx
), head mounted display for virtual reality (VR)/augmented reality (AR), and machine learning program. The
https://www.rd.ntt/_assets/pdf/iown/reference-model_en_2_0.pdf