Result for "Deep Learning",319

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

AI競争の差別化要因となる「Deep Learningのコアな研究/技術」｜NTT R&D Website

AI競争の差別化要因となる「Deep Learningのコアな研究/技術」｜NTT R&D Website NTT R&D Website リサーチ&アクティビティ AI競争の差別化要因

https://www.rd.ntt/research/AP99-320.html

Carrier Cloud for Deep Learning to Enable Highly Efficient Inference Processing | NTT R&D Website

Carrier Cloud for Deep Learning to Enable Highly Efficient Inference Processing | NTT R&D Website

https://www.rd.ntt/e/research/JN20191114_h.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/cct/team_researchers/researcher/249.html

"DeAnoS: Deep Anomaly Surveillance” Deep Learning-based Anomaly Detection Technology | NTT R&D Website

"DeAnoS: Deep Anomaly Surveillance” Deep Learning-based Anomaly Detection Technology | NTT R&D

https://www.rd.ntt/e/research/NSL0005.html

Object extraction technologies using deep learning | NTT R&D Website

Object extraction technologies using deep learning | NTT R&D Website NTT R&D Website Research

https://www.rd.ntt/e/research/HI0010.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

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

Research on Asynchronous Distributed Deep Learning Technology―Optimizing Machine Learning Models in the Age of Distributed Data Storage｜NTT R&D Website

Research on Asynchronous Distributed Deep Learning Technology―Optimizing Machine Learning Models

https://www.rd.ntt/e/research/RDNTT20210501.html

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

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

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

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

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

Deep Image Generation Based on Optics and Physics | NTT Communication Science Laboratories | NTT R&D Website

. This advancement has been driven by progress in deep learning; however, typical deep learning models

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media21.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

Meta-learning Achieves High Accuracy with a Small Amount of Training Data | NTT R&D Website

; however, around 2018, when deep-learning research was progressing apace, computer performance was

https://www.rd.ntt/e/research/JN202404_25752.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

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

Smart Traffic Coordination via Learnable Digital Twins-Future Possibilities of Distributed Deep Learning | NTT R&D Website

Digital Twins-Future Possibilities of Distributed Deep Learning 11/10/2022 Smart Traffic Coordination via

https://www.rd.ntt/e/research/JN202208_19150.html

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

Yuka Hashimoto | NTT R&D Website

, ICLR 2024. Yuka Hashimoto, Masahiro Ikeda, and Hachem Kadri, Deep learning with kernels through RKHM

https://www.rd.ntt/e/organization/researcher/special/s_083.html

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

Yasutoshi Ida | NTT R&D Website

, Japan (2016 - 2018) Keywords AI, Machine Learning, Data Mining, Sparse Modeling, Optimal Transport, Deep

https://www.rd.ntt/e/organization/researcher/special/s_064.html

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

Communication Science that Adapts to the Changing Present and Creates a Sustainable Future-Aiming to Create Technology that Brings Harmony and Symbiosis among People, Society, and the Environment | NTT R&D Website

surpass human abilities With the advent of deep learning, artificial intelligence (AI) technology related

https://www.rd.ntt/e/research/JN202208_19139.html

Marc Delcroix | NTT R&D Website

understanding natural human conversations by combining signal processing and deep learning. In this page Awards

https://www.rd.ntt/e/organization/researcher/special/s_033.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/cct/team_researchers/team/250.html

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

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

AI Hears Your Voice as if It Were Right Next to You-Audio Processing Framework for Separating Distant Sounds with Close-microphone Quality | NTT R&D Website

microphones, and their integration with deep learning-based speech enhancement (e.g., SpeakerBeam). Tomohiro

https://www.rd.ntt/e/research/JN202208_19141.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

The Coming Era of Large-scale Data Calls for a Fast and Accurate Data Analytics Platform | NTT R&D Website

machine learning. Deep learning (a technology in which computers autonomously analyze large amounts of

https://www.rd.ntt/e/research/JN202410_29841.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

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/

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

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

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

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

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

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

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

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

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

The Day a System Becomes a Conversation Partner—Exploring New Horizons in Social Dialogue Systems with Large-scale Deep Learning｜NTT R&D Website

with Large-scale Deep Learning｜NTT R&D Website NTT R&D Website Research&Activity The Day a System

https://www.rd.ntt/e/research/JN202107_14467.html

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

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

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

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

橋本 悠香 | NTT R&D Website

Kadri, Deep learning with kernels through RKHM and the Perron-Frobenius operator, NeurIPS 2023. Yuka

https://www.rd.ntt/organization/researcher/special/s_083.html

Fast Sparse Modeling Technology Opening Up the Future with Ultra-high-dimensional Data | NTT R&D Website

Future with Ultra-high-dimensional Data sparse modeling deep learning high-dimensional data As one pillar

https://www.rd.ntt/e/research/JN202304_21676.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

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

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

Reliable and Distributed Media Processing Technology based on Secured Sparse Coding｜NTT R&D Website

powerful in extracting critical information from big data. The main advantages of sparse coding over deep

https://www.rd.ntt/e/research/NI0061.html

Communication with Desired Voice | NTT R&D Website

in modifying a speech waveform in deep learning. One involves the sampling rate. For example, 16-kHz

https://www.rd.ntt/e/research/JN202009_6715.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

Problem Solving Will Not Reduce the Number of Research Themes―It Will Open up New Research Areas | NTT R&D Website

artificial intelligence (AI) started around 2012, since then, neural networks based on deep learning have

https://www.rd.ntt/e/research/JN202203_17523.html

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

Takuhiro Kaneko | NTT R&D Website

2020), Oct. 2020. Keywords Image Synthesis, Speech Synthesis, Voice Conversion, Machine Learning, Deep

https://www.rd.ntt/e/organization/researcher/special/s_046.html

Phygital-data-centric Computing | NTT R&D Website

computational load. In response to this issue, we developed Carrier Cloud for Deep Learning, which accommodates

https://www.rd.ntt/e/research/JN20191110_h.html

Hirokazu Kameoka | NTT R&D Website

, deep learning More Research Activity Related Contents

https://www.rd.ntt/e/organization/researcher/superior/s_025.html

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

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

Reach Out and Touch Someone’s Heart: Exploring the Essence of Communication to Create a Spiritually Rich Society｜NTT R&D Website

, especially deep learning, a massive increase in data and the need to protect privacy are generating a need to

https://www.rd.ntt/e/research/JN202107_14463.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

Learning 3D Information from 2D Images Using Aperture Rendering Generative Adversarial Networks toward Developing a Computer that "Understands the 3D World" | NTT R&D Website

. We spoke to Takuhiro Kaneko, a distinguished researcher who developed a novel deep learning model

https://www.rd.ntt/e/research/JN202205_18199.html

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

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

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

The Future of Data Distribution and Its Security Technology | NTT R&D Website

process a standard algorithm used for deep learning, which has begun to be used in the AI field, without

https://www.rd.ntt/e/research/JN20200214_h.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

Kenta Niwa | NTT R&D Website

, Noboru Harada, Guoqiang Zhang, and W. Bastiaan Kleijn, "Edge-consensus Learning: Deep Learning on P2P

https://www.rd.ntt/e/organization/researcher/special/s_061.html

Developing AI that Pays Attention to Who You Want to Listen to: Deep-learning-based Selective Hearing with SpeakerBeam｜NTT R&D Website

Developing AI that Pays Attention to Who You Want to Listen to: Deep-learning-based Selective

https://www.rd.ntt/e/research/JN202107_14481.html

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

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

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

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

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

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

Understanding Brain Mechanisms by Integrating AI and Brain Information Analysis toward an Inclusive Society | NTT R&D Website

toward an Inclusive Society brain decoding deep learning fMRI Artificial intelligence (AI) based on deep

https://www.rd.ntt/e/research/JN202210_19918.html

Science and Technology Are the Collective Wisdom of Our Predecessors. It Is Our Mission-the Researchers of Today-to Make Them Even Better | NTT R&D Website

attracting attention in fields such as machine learning and computer vision at the time. Using such deep

https://www.rd.ntt/e/research/JN202305_21819.html

The Technology to Detect Corrosion in Bridge-Attached Equipments｜NTT R&D Website

is one of the image recognizing technologies in deep learning. Performing pixel-by-pixel recognition

https://www.rd.ntt/e/research/AS0077.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

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 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

Looking More, Acting Better｜NTT R&D Website

Deep Learning Looking More, Acting Better Developing AI that Pays Attention to Who You Want to Listen

https://www.rd.ntt/e/research/JN202107_14478.html

Multilingual Speech Recognition Platform - Dual Channel Speech Recognition System｜NTT R&D Website

speech recognition, a large amount of voice data and text data are used to do deep learning, a type of

https://www.rd.ntt/e/research/HI0002.html

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

Trusted Data Space for Creating Value from Data in a Chain Reaction Manner｜NTT R&D Website

without returning to the original data even once. In 2019, NTT developed secure computation deep learning

https://www.rd.ntt/e/research/JN202111_16223.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/

ディープラーニングに基づく異常検知技術─DeAnoS: Deep Anomaly Surveillance｜NTT R&D WebSite

ディープラーニングに基づく異常検知技術─DeAnoS: Deep Anomaly Surveillance｜NTT R&D WebSite NTT R&D WebSite リサーチ&アク

https://www.rd.ntt/research/JN20190517_h.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

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