Result for "Deep Learning",209

Research and development of networks to accelerate digital transformation｜NTT R&D Website

technology using deep learning, as well as technology to autonomously analyze the causal relationship between

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

NAKANO, Yuusuke

., Nakano, Y., and Watanabe, K.: Dividing Deep Learning Model for Continuous Anomaly Detection of

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

Speech information processing | NTT R&D Website

synthesis. In recent years, this technology has evolved dramatically with the introduction of deep learning

https://www.rd.ntt/e/hil/category/voice/

Network-AI技術 – 主な研究成果紹介 | NTT R&D Website

技術 DeAnoS: Deep Anomaly Surveillance 研究成果5:故障箇所推定技術 研究成果6:復旧コマンド列自動生成技術 研究成果1：仮想ネットワークのリソース最適化技術 将来ネッ

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

Introduction of Evangelists | NTT Social Informatics Laboratories | NTT R&D Website

information. PhD(Science). Read More Atsutoshi Kumagai Researches machine learning that enables knowledge

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

New Method of Chaos Generation by Using Nanomechanical Oscillator | NTT R&D Website

deep learning, which adapts to the network, with reservoir computing, only the output layer is modified

https://www.rd.ntt/e/research/JN202202_17208.html

List of exhibits｜NTT R&D FORUM 2023 — IOWN ACCELERATION Report

SocietyUnderstanding the capability of the text-to-image generation AI model Through understanding deep learning models

https://www.rd.ntt/e/forum/2023/exhibit.html

行動モデリング | NTT R&D Website

convex algorithm", Machine Learning, vol.112, no.1, pp.99-129, 2023. Yuya Hikima, Yasunori Akagi

https://www.rd.ntt/hil/category/behavior_modeling/

Cryptographic Circuit Technology Consisting of Optical Logic Gates｜NTT R&D Website

used for the computational operations required by learning algorithms in the field of deep learning and

https://www.rd.ntt/e/research/JN202111_16211.html

Distinguished Researcher Wataru Yamada | NTT Access Network Service Systems Laboratories | NTT R&D Website

also incorporates advanced technologies such as deep learning that have not yet been effectively used

https://www.rd.ntt/e/as/team_researchers/researcher/04.html

CS pamphlet 2021_A4_normal_E

establish- ment of new theories and processing technologies that are based on a deep un- derstanding of the

https://www.rd.ntt/e/cs/overview/pdf/pamphlet_e_2021.pdf

Report on the NTT R&D Forum 2020｜NTT R&D Website

distributed deep learning for edge computing (A20)" presented techniques and demos for securely optimizing

https://www.rd.ntt/e/forum/2020/

光デバイスによるリザーバコンピューティングの物理実装 | NTT R&D Website

Photonic Linear Processing，”Frontiers in Optics, FW5E.2，2021. (7)M. Nakajima：“Physical Deep Learning with

https://www.rd.ntt/research/JN202206_18595.html

西田 京介 | NTT R&D Website

Nishida, Koki Maeda, Kuniko Saito, "DueT: Image-Text Contrastive Transfer Learning with Dual-adapter

https://www.rd.ntt/organization/researcher/superior/s_033.html

Badminton × Ultra-realistic Communication Technology Kirari!｜NTT R&D Website

this, we developed a deep learning model that can simultaneously extract and infer front and back

https://www.rd.ntt/e/research/JN202110_15548.html

NTT R&D Forum - Road to IOWN 2022｜NTT R&D Website

learning Powerful NW-AI grows with autonomous generation/learning of failures N-E17IOWN EvolutionOptical

https://www.rd.ntt/e/forum/2022/exhibit.html

感性情報処理 | NTT R&D Website

Breakdown, and Attentional Support", JMIR Aging 2024;7:e56055. 国際会議 Masahiro Kohjima,“Shuffled Deep

https://www.rd.ntt/hil/category/emotion/

R&D Activities of Core Wireless Technologies toward 6G Radio Access | NTT R&D Website

-detection algorithms that are based on deep learning, and the detected position and movements of

https://www.rd.ntt/e/research/JN202205_18140.html

Petabit-class Optical Transmission Using Spatial Multiplexing Technology Opens a New Era with a Paradigm Shift | NTT R&D Website

computing, and machine learning and deep learning, which have become popular fields with the rise of

https://www.rd.ntt/e/research/JN202302_20974.html

Human Information Science Laboratory | NTT Communication Science Laboratories | NTT R&D Website

that endpoint feedback facilitates intermanual transfer of visuomotor force learning by a cognitive

https://www.rd.ntt/e/cs/team_project/human/