Demonstration of a novel scheme to generate chaotic signals using a MEMS oscillator|NTT Basic Research Laboratories | NTT R&D Website
network, in contrast to deep learning that trains the non-linear network itself. Reservoir computation
https://www.rd.ntt/e/brl/latesttopics/2020/10/latest_topics_202010241444.html
Security to protect and create a smart world|NTT R&D Website
prediction with deep learning using AI, which is rapidly being implemented throughout society, thereby
https://www.rd.ntt/e/security/0001.html
メディア情報研究部 過去のニュース|NTTコミュニケーション科学基礎研究所|NTT R&D Website
Labらによる「Effective Detection of Variable Celestial Objects Using Machine Learning-based Periodic
https://www.rd.ntt/cs/team_project/media/past_news.html
c_21.pdf
review.[2] T. Ngo, Z. Lu, G. Carneiro,“Combining deep learning and level set for the automated
https://www.rd.ntt/cs/event/openhouse/2020/download/c_21.pdf
知能創発環境研究グループ|NTTコミュニケーション科学基礎研究所|NTT R&D Website
-433, 2024. Tomoharu Iwata, Atsutoshi Kumagai, "Meta-learning to calibrate Gaussian processes with deep
https://www.rd.ntt/cs/team_project/icl/ls/
Media Information Laboratory | NTT Communication Science Laboratories | NTT R&D Website
, Jan Cernocky, "Probing Self-supervised Learning Models with Target Speech Extraction" ・Thilo von
https://www.rd.ntt/e/cs/team_project/media/
メディア情報研究部|NTTコミュニケーション科学基礎研究所|NTT R&D Website
Ashihara, Shoko Araki, Jan Cernocky, "Probing Self-supervised Learning Models with Target Speech Extraction
https://www.rd.ntt/cs/team_project/media/
NTT R&D Forum 2019 Report|NTT R&D Website
extraction using deep learning. However, a lot of manual work is currently still necessary. This research
https://www.rd.ntt/e/forum/2019/
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
Introduction of Evangelists | NTT Social Informatics Laboratories | NTT R&D Website
interests include security of machine-learning-based systems, particularly attacks against deep neural
https://www.rd.ntt/e/sil/overview/evangelist/
原田 薫明
and Shigeaki Harada, "Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network
https://www.rd.ntt/ns/qos/person/harada/
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/
行動モデリング | NTT R&D Website
Learning, vol.112, no.1, pp.99-129, 2023. Yuya Hikima, Yasunori Akagi, Masahiro Kohjima, Takeshi Kurashima
https://www.rd.ntt/hil/category/behavior_modeling/
Network-AI技術 – 主な研究成果紹介
ログ分析による故障検知技術 研究成果3:故障対応ワークフロー可視化技術 研究成果4:異常検知技術 DeAnoS: Deep Anomaly Surveillance 研究成果5:故障箇所推定技術 研究成果6
https://www.rd.ntt/ns/qos/research/05/result.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
NTT's Large Language Models 'tsuzumi' | NTT R&D Website
a learning environment. At NTT, we have been conducting research and development to resolve these
https://www.rd.ntt/e/research/LLM_tsuzumi.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
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
Publications [2018] | NTT Device Technology Laboratories | NTT R&D Website
Speed for Distributed Deep Learning” in Proceedings of Supercomputing Conference (SC), 2018/11. Yilmin
https://www.rd.ntt/e/dtl/technology/publications2018.html