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