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
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
socialsystem_wellbeing_report2022.pdf
へ向けて 一般社団法人 Deep Care Lab 川地 真史・田島 瑞希 Column 4 ICT ウェルビーイング時代の生産性 慶應義塾大学総合政策学部 教授 國領 二郎 Column 5
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
スモーダル音声変 換 機 能」も実現しています。 メディア情報研究部 田中 宏 Kou Tanaka Communication with desired voice ー Deep generative
https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet.pdf
0058.pdf
express their deep gratitude to Prof. K. Sakaniwa of Tokyo Institute of Technology for fruitful
https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0058.pdf
oh2016_booklet.pdf
Advances in deep learning and signal processing that are making speech recognition leap forward 音声認識が人間に近づ
https://www.rd.ntt/cs/event/openhouse/2016/download/oh2016_booklet.pdf
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
『NTT R&Dフォーラム 2018(秋)』開催報告|NTT R&D Website
時間の音声情報は必要なく、10秒程度の音声データを登録するだけでよい。数多くの日本語音声データをDeep Learning(深層学習)で学習したAIが、登録音声データの特徴を抽出し、話者の位置に関係
https://www.rd.ntt/forum/forum2018_autumn.html
Lebreton_MMSP2018.pdf
engagement. This would rely on deep packet inspection, which requires using much processing power, collecting
https://www.rd.ntt/e/ns/qos/research/01/pdf/Lebreton_MMSP2018.pdf
Lebreton_MMSP2018.pdf
engagement. This would rely on deep packet inspection, which requires using much processing power, collecting
https://www.rd.ntt/e/ns/qos/person/yamagishi/pdf/Lebreton_MMSP2018.pdf
AS Information | NTT R&D Website
所の論文「Wireless Multi-Interface Connectivity with Deep Learning-Enabled User Devices: an Energy
https://www.rd.ntt/as/info/
mt-test-set-1.txt
bottom of the sea. 05840 彼女は物思いに沈んでいる。 She is deep in thought. 06010 船頭が舟を出す。 The boatman puts the ship
https://www.rd.ntt/cs/team_project/icl/lirg/resources/mt-test-set-1.txt
Inclusive Core: Integrative and Cooperative Network Architecture for the 6G/IOWN Era - White paper | NTT R&D Website
cyber space at a deep level with a high sense of presence [3] [4] [5]. Moreover, in addition to
https://www.rd.ntt/e/ns/inclusivecore/whitepaper_ver1.html
Inclusive Core: Integrative and Cooperative Network Architecture for the 6G/IOWN Era - White paper | NTT R&D Website
humans, between humans and machines, and between machines and cyber space at a deep level with a high
https://www.rd.ntt/e/ns/inclusivecore/whitepaper_ver2.html
oh1013_booklet.pdf
ストデータは 単語数が多い ・・・ 機械学習・データ科学センタ(MLC:Machine Learning・Data Science Center) 各種センサ情報 データの背後に 潜む潜在情報を 膨大
https://www.rd.ntt/cs/event/openhouse/2013/download/oh1013_booklet.pdf