Result for "Deep Learning",186

poster_en.pdf

【Reference】 【Co nt ac t】 Abstract Fast and Accurate Deep Learning Yasutoshi Ida Software

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/7/poster_en.pdf

High-speed optical interconnect for AI : Distributed deep learning accelerator | NTT Device Technology Laboratories | NTT R&D Website

High-speed optical interconnect for AI : Distributed deep learning accelerator | NTT Device

https://www.rd.ntt/e/dtl/technology/pe_product-optical-interconnect.html

NTT Communication Science Laboratories Open House 2016

Fast and accurate deep learning - Efficient learning utilizing directions of past gradients - Abstract

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/7/index_en.html

Sekitoshi Kanai | NTT Software Innovation Center | NTT R&D Website

Project Researcher (As of November 2018) Making the current deep learning with AI faster, easier and safer

https://www.rd.ntt/e/sic/team_researchers/researcher/249.html

Deep reinforcement learning-based vehicle routing technology | NTT Access Network Service Systems Laboratories | NTT R&D Website

Deep reinforcement learning-based vehicle routing technology | NTT Access Network Service Systems

https://www.rd.ntt/e/as/theme/movie20.html

スライド 1

Improving the accuracy of deep learning - Larger capacity output function for deep learning - Deep learning

https://www.rd.ntt/cs/event/openhouse/2019/download/04_a_en.pdf

NTT Communication Science Laboratories Open House 2019

Improving the accuracy of deep learning - Larger capacity output function for deep learning - Abstract Deep

https://www.rd.ntt/cs/event/openhouse/2019/exhibition4/index_en.html

Network-AI技術 – 主要な外部発表 | NTT R&D Website

and S. Harada, "Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network

https://www.rd.ntt/ns/qos/research/05/presentation.html

スライド 1

for efficient object search We propose Adaptive Spotting, a deep reinforcement learning approach to

https://www.rd.ntt/cs/event/openhouse/2020/download/c_19_en.pdf

スライド 1

from their voices with deep learning model Applications Call center response decision, marketing

https://www.rd.ntt/cs/event/openhouse/2020/download/c_15_en.pdf

NTT Communication Science Laboratories Open House 2018 Program

environmental sensing and machine learning Memory efficient deep learning for mobile devices Quantized neural

https://www.rd.ntt/cs/event/openhouse/2018/program_en.html

NTT Communication Science Laboratories Open House 2016

Thursday, June 2th 15:30 - 16:10 Avenues toward super-human speech recognizers - Advances in deep learning

https://www.rd.ntt/cs/event/openhouse/2016/talk/research1/index_en.html

NTT Communication Science Laboratories Open House 2018

analysis by environmental sensing and machine learning Memory efficient deep learning for mobile devices

https://www.rd.ntt/cs/event/openhouse/2018/en_simple/index_en.html

NTT Communication Science Laboratories Open House 2017

Abstract The rapid progress of deep learning is impacting the world we live in. Media generation (e.g

https://www.rd.ntt/cs/event/openhouse/2017/talk/research2/index_en.html

KOBAYASHI, Masahiro

, May 2018. A. Suzuki and M. Kobayashi, "Multi-Agent Deep Reinforcement Learning for Cooperative

https://www.rd.ntt/e/ns/qos/person/m_kobayashi/

NTT Communication Science Laboratories Open House 2020

technology and our approaches with the theme "What can be done when the voice is combined with deep learning

https://www.rd.ntt/cs/event/openhouse/2020/research1/index_en.html

スライド 1

cardiac modeling,” under review. [2] T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning and level set

https://www.rd.ntt/cs/event/openhouse/2020/download/c_21_en.pdf

スライド 1

improve the ASR performance. Our AI system is modeled based on state-of-the-art deep learning technology

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/poster_en_17.pdf

NTT Communication Science Laboratories Open House 2017 Program

) 11:00 - 11:40 Generative personal assistance with audio and visual examples Deep learning opens the

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

MATSUO, Yoichi

researches on network management. Research Interests Network operation Machine Learning, Deep Learning

https://www.rd.ntt/e/ns/qos/person/matsuo/

NTT Communication Science Laboratories Open House 2020

Spotting, a deep reinforcement learning approach to object search from a scene represented by a 3D point

https://www.rd.ntt/cs/event/openhouse/2020/exhibition19/index_en.html

Automated Data Analysis "RakuDA" | NTT Software Innovation Center | NTT R&D Website

research area of distributed data processing platform SE project includes deep learning and machine

https://www.rd.ntt/e/sic/team_researchers/team/250.html

Network-AI技術 | NTT R&D Website

Learning Based Anomaly Detection Technology for ICT Services -DeAnoS: Deep Anomaly Surveillance- 復旧コマンド列自動

https://www.rd.ntt/ns/qos/research/05/

NTT Communication Science Laboratories Open House 2019

population data Improving the accuracy of deep learning Larger capacity output function for deep learning

https://www.rd.ntt/cs/event/openhouse/2019/program_en.html

NTT Communication Science Laboratories Open House 2017

Exhibition Program 16 Generative personal assistance Deep learning opens the way to innovative media

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/16/index_en.html

poster_en_16.pdf

process automatically. To this end, we propose two kinds of learning-based (specifically, deep learning

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/16/poster_en_16.pdf

NTT Communication Science Laboratories Open House 2015

Extracting essential information from sounds - Advances in distant speech recognition by deep learning

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/20/index_en.html

スライド 1

comfort and energy saving ⇒ Maximize conflicting indicators by deep reinforcement learning to calculate

https://www.rd.ntt/cs/event/openhouse/2019/download/02_a_en.pdf

NTT Communication Science Laboratories Open House 2020

, “Edge-consensus learning: deep learning on P2P networks with nonhomogeneous data,” submitted to KDD 2020

https://www.rd.ntt/cs/event/openhouse/2020/exhibition20/index_en.html

Generalized Domain Adaptation | NTT Communication Science Laboratories | NTT R&D Website

is well-known that deep-learning models degrade in performance when there are environmental

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media16.html

NTT Communication Science Laboratories Open House 2016

How did you get here? Where will you go? - Trajectory analysis and prediction using deep learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/index_en.html

Photonic reservoir computing : Optics makes a machine learning much faster | NTT Device Technology Laboratories | NTT R&D Website

Preprocessing of large-scale video streaming to assist deep learning Related technologies Optical packet

https://www.rd.ntt/e/dtl/technology/pe_product-photonic-reservoir.html

スライド 1

frequency?  Supervised deep learning explains the tuning in presence of reverberation  The frequency

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/24/poster_en_24.pdf

Toshiki Shibahara | NTT Social Informatics Laboratories | NTT R&D Website

. Recent interests include security of machine-learning-based systems, particularly attacks against deep

https://www.rd.ntt/e/sil/overview/evangelist/toshiki_shibahara.html

NTT Communication Science Laboratories Open House 2016 Program

deep learning and signal processing that are making speech recognition leap forward - Takuya Yoshioka

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

NTT Communication Science Laboratories Open House 2018

hypothesis selection Abstract We propose an AI system (a deep learning model) that solves two-choice

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/index_en.html

Video Library | Communication Traffic, Quality and Operation Research Project | NTT Network Service Systems Laboratories | NTT R&D Website

learning based anomaly detection technology - DeAnoS: Deep Anomaly Surveillance - Predictive routing

https://www.rd.ntt/e/ns/qos/video_library.html

The Front Line of Data Security｜NTT R&D Website

Learning Processing in the Deep Learning of the Standard AI with Encryption As introduced in the first

https://www.rd.ntt/e/security/0002.html

HASHIMOTO, Yuka

. Yuka Hashimoto, Masahiro Ikeda, and Hachem Kadri, Deep learning with kernels through RKHM and the

https://www.rd.ntt/e/ns/qos/person/hashimoto/

E07_leaf_e.pdf

. Summary Our technology can quickly generate efficient routes using AI (deep reinforcement learning) while

https://www.rd.ntt/forum/2023/doc/E07_leaf_e.pdf

スライド 1

Distributed Computing Technology Project, Software Innovation Center 05 Memory efficient deep learning for

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/5/poster_en_5.pdf

Unsupervised Learning of 3D Representations from 2D images | NTT Communication Science Laboratories | NTT R&D Website

Unsupervised Learning of 3D Representations from 2D images | NTT Communication Science

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media15.html

NTT Communication Science Laboratories Open House 2020 Exhibition

spotting for efficient object search Deep learning without data aggregation from nodes Asynchronous

https://www.rd.ntt/cs/event/openhouse/2020/exhibition_en.html

NTT Communication Science Laboratories Open House 2020

physical laws for 3D cardiac modeling,” under review. T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning

https://www.rd.ntt/cs/event/openhouse/2020/exhibition21/index_en.html

NTT Communication Science Laboratories Open House 2018

Exhibition Program 5 Memory efficient deep learning for mobile devices Quantized neural networks for model

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/5/index_en.html

P11_leaf_e.pdf

computing resources without copying for LLM learning Remote computing with APN - Future of tsuzumis' deep

https://www.rd.ntt/forum/2023/doc/P11_leaf_e.pdf

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 05

https://www.rd.ntt/cs/event/openhouse/2019/exhibition5/index_en.html

スライド 1

スライド 1 Abstract References Contact オープンハウス 2020 20 Deep learning without data aggregation from

https://www.rd.ntt/cs/event/openhouse/2020/download/c_20_en.pdf

Getting closer to humans with AI and understanding humans with brain science: AI with a deep understanding of people, capable of coexisting with us｜NTT R&D Website

to near and surpass specific human abilities through research into fields such as deep learning

https://www.rd.ntt/e/ai/0003.html

G03-01-e.pdf

device control. (1) A deep learning model with a phase token to capture timing in motor imagery changes

https://www.rd.ntt/forum/2024/doc/G03-01-e.pdf

F12_leaf_e.pdf

Through understanding deep learning models, we enhance their fairness and safety Understanding the

https://www.rd.ntt/forum/2023/doc/F12_leaf_e.pdf

NTT Communication Science Laboratories Open House 2017

) representation, and a deep learning-based approach using the generative adversarial network (GAN). The former

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/index_en.html

スライド 1

degradation. On the other hand, the proposed method, which is based purely on deep learning, can theoretically

https://www.rd.ntt/cs/event/openhouse/2019/download/17_c_en.pdf

スライド 1

listen to - Computational selective hearing based on deep learning - Use a few seconds of speech from the

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/16/poster_en_16.pdf

Communication Traffic, Quality and Operation Research Project | Research and Development Projects | NTT Network Service Systems Laboratories | NTT R&D Website

Technology in Service Operations Related videos Deep learning based anomaly detection technology - DeAnoS

https://www.rd.ntt/e/ns/theme/qos.html

スライド 1

learning Our goal is to automatically discover “causal relationships” from time series data, i.e., a

https://www.rd.ntt/cs/event/openhouse/2019/download/05_a_en.pdf

poster_en.pdf

learning～ [1] Y. Endo, H. Toda, K. Nishida, A. Kawanobe, “Deep feature extraction from trajectories for

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/poster_en.pdf

スライド 1

signals with similar voice characteristics  SpeakerBeam （= Selective Hearing based on Deep Learning） Deep

https://www.rd.ntt/cs/event/openhouse/2020/download/c_17_en.pdf

NTT Communication Science Laboratories Open House 2017

Exhibition Program 5 Stable deep learning for time-series data Preventing gradient explosions in gated

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/5/index_en.html

NTT Communication Science Laboratories Open House 2018

Program 24 Understanding human hearing with AI Analyzing auditory neural mechanisms with machine learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/24/index_en.html

Statistical Machine Learning | NTT Communication Science Laboratories | NTT R&D Website

in deep learning technology have made it possible to build high precision machine learning models for

https://www.rd.ntt/e/cs/team_project/icl/ls/research_innovative02.html

『NTT R&Dフォーラム 2018』開催報告　～デジタル技術が彩る未来へ～｜NTT R&D Website

シーの数値を近隣にいるタクシーの位置情報とともにマッピングしたつばめグループのカーナビ Deep Learningを短時間で低コストに行います（corevoを支える基盤技術：E15） 昨今、さま

https://www.rd.ntt/forum/forum2018.html

Secure Computation AI | NTT R&D Website

data. Advantages of this technology The world's first technology that enables standard deep learning

https://www.rd.ntt/e/research/SI0014.html

Dr.Naonori Ueda | NTT R&D Website

preparation) Mulia,I.E.,Ueda,N.,Miyoshi,T.,Iwamoto,T.& Heidarzadeh,M.A novel deep learning approach for

https://www.rd.ntt/e/organization/researcher/fellow/f_003.html

PowerPoint Presentation

 Matrix Factorization  Random Walk  Deep Neural Networks The KDD’17 Tutorials  Learning Representations

https://www.rd.ntt/_assets/pdf/sic/event/2018/1/09_panel_jeffrey.pdf

poster.pdf

.yuki(at)lab.ntt.co.jp ～深層学習を利用した移動軌跡分析・予測技術～ [1] Y. Endo, H. Toda, K. Nishida, A. Kawanobe, “Deep

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/poster.pdf

NTT Communication Science Laboratories Open House 2015 Program

- Advances in distant speech recognition by deep learning - Measurement of fluorescence by 9-eye camera

https://www.rd.ntt/cs/event/openhouse/2015/program_en.html

NTT Communication Science Laboratories Open House 2019

, thanks to recent AI developments especially in deep learning, computers are approaching?and surpassing in

https://www.rd.ntt/cs/event/openhouse/2019/director/index_en.html

スライド 1

AAAI Conference on Human Computation and Crowdsourcing （HCOMP2019）, 2019. Deep learning requires much

https://www.rd.ntt/cs/event/openhouse/2020/download/a_01_en.pdf

2020_booklet_en.pdf

search like human - Adaptive spotting for efficient object search 20. Deep learning without data

https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet_en.pdf

NTT Communication Science Laboratories Open House 2014 Defeat reverberation: enemy of speech recognition - Advanced speech enhancement and recognition -

reduction and deep learning-based automatic speech recognition. Our proposed system greatly improves

https://www.rd.ntt/cs/event/openhouse/2014/exhibition/20/index_en.html

F14_leaf_e.pdf

on deep learning using space information collected in the verification environment We confirmed and

https://www.rd.ntt/forum/2023/doc/F14_leaf_e.pdf

Wataru Matsuda | NTT Social Informatics Laboratories | NTT R&D Website

by Monitoring DLL Using Deep Learning, Journal of Information Processing 28, 1052-1064 W Matsuda, M

https://www.rd.ntt/e/sil/overview/evangelist/wataru_matsuda.html

NTT コミュニケーション科学基礎研究所 オープンハウス2020

. Harada, G. Zhang, B. Kleijn, “Edge-consensus learning: deep learning on P2P networks with nonhomogeneous

https://www.rd.ntt/cs/event/openhouse/2020/exhibition20/

Recruit | NTT Software Innovation Center | NTT R&D Website

technologies, machine learning and deep learning algorithm, processing platform technologies for big data

https://www.rd.ntt/e/sic/recruit/

Position under active recruitment: Research and development on environment and socioeconomic nexus forecasting technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

deep learning Basic knowledge of programming languages such as Python and Fortran, implementation

https://www.rd.ntt/e/se/recruitment/focus08.html

Video Library | Service Innovation Laboratory Group | NTT R&D Website

with knowledge integration "MediaGnosis" Piper : Machine learning pipeline for traffic analysis

https://www.rd.ntt/e/svlab/video_library/

poster_en_17.pdf

, called the composite Line Spectral Pair (LSP) representation, and a deep learning-based approach using

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/17/poster_en_17.pdf

NTT Communication Science Laboratories Open House 2016

and deep learning-based ASR technologies to address such issues, with which we won the CHiME-3

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/19/index_en.html

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

, Brian Kenji Iwana, and Seiichi Uchida, "Attention to warp: Deep metric learning for multivariate time

https://www.rd.ntt/e/cs/team_project/media/recognition/

Microsoft PowerPoint - C_パネル一覧0501.pptx

ザが 思い描くメディアを生成するために 必要な技術です。将来的にはユーザ のあらゆる要望に応えられるメディ ア生成技術の確立を目指しています。 16 Deep learning opens the way

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/16/poster16.pdf

松田 亘｜NTT社会情報研究所｜NTT R&D Website

Fujimoto, T Mitsunaga, Detection of Malicious Tools by Monitoring DLL Using Deep Learning, Journal of

https://www.rd.ntt/sil/overview/evangelist/wataru_matsuda.html

PR Video Channel | NTT Access Network Service Systems Laboratories | NTT R&D Website

【Operations technologies】Deep reinforcement learning-based vehicle routing technology 【Operations technologies

https://www.rd.ntt/e/as/theme/movie.html

poster_en_19.pdf

deep learning with long term feature Selamat siang [1] T. Yoshioka, N. Ito, M. Delcroix, A. Ogawa, K

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/19/poster_en_19.pdf

NTT Communication Science Laboratories Open House 2020

” such as “media processing” and “data analysis and machine learning” and science for “obtaining a deep

https://www.rd.ntt/cs/event/openhouse/2020/director/index_en.html

NTT Communication Science Laboratories Open House 2018

based on deep learning Abstract In conversations, when several people speak at the same time, people

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/16/index_en.html

NTT Communication Science Laboratories Open House 2017 Schedule

Generative personal assistance with audio and visual examples - Deep learning opens the way to innovative

https://www.rd.ntt/cs/event/openhouse/2017/schedule_en.html

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

signal processing with deep-learning techniques," IEEE Signal Processing Magazine, vol. 36, no. 6, pp

https://www.rd.ntt/e/cs/team_project/media/signal/

Photonics-Electronics Convergence Laboratory | NTT Device Technology Laboratories | NTT R&D Website

deep learning accelerator Back to Technology Main Page

https://www.rd.ntt/e/dtl/technology/photonics_electronics.html

上田 修功 | NTT R&D Website

.E.,Ueda,N.,Miyoshi,T.,Iwamoto,T.& Heidarzadeh,M.A novel deep learning approach for typhoon-induced

https://www.rd.ntt/organization/researcher/fellow/f_003.html

poster_en_13.pdf

networks / Deep learning [low memory requirement] able to provide WEVs 10 to 100 times smaller than those

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/13/poster_en_13.pdf

NTT Communication Science Laboratories Open House 2019

proposed method, which is based purely on deep learning, can theoretically learn and deal with any

https://www.rd.ntt/cs/event/openhouse/2019/exhibition17/index_en.html

NTT Communication Science Laboratories Open House 2016 Schedule

super-human speech recognizers - Advances in deep learning and signal processing that are making speech

https://www.rd.ntt/cs/event/openhouse/2016/schedule_en.html

NTT Communication Science Laboratories Open House 2018

Language Exhibition Program 7 Interpreting deep learning from network structure Detecting communities in

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/7/index_en.html

The information processing infrastructure｜NTT R&D Website

framework f... "Inference Cloud" service to make deep learning more accessible Related News

https://www.rd.ntt/e/infrastructure/

IOWN PETs | NTT R&D Website

Secure federated learning enables training of AI and deep learning models using data that are difficult

https://www.rd.ntt/sil/project/iown-pec/

Major issues and research trends in the evolution of artificial intelligence (AI)｜NTT R&D Website

the development of big data analysis, machine learning, and deep learning. Commercialization is

https://www.rd.ntt/e/ai/0001.html

スライド 1

Recognition Research Group, Media Information Laboratory 07 Interpreting deep learning from network structure

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/7/poster_en_7.pdf

NTT コミュニケーション科学基礎研究所 オープンハウス2020

,” under review. T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning and level set for the automated

https://www.rd.ntt/cs/event/openhouse/2020/exhibition21/

G03-02-e.pdf

difficult. By modeling both the metalens and image reconstruction using deep learning to jointly optimize

https://www.rd.ntt/forum/2024/doc/G03-02-e.pdf