Result for "Deep Learning",201

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/

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/

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/

MATSUO, Yoichi

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

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

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

Creating "Shido Twin" by Using Another Me Technology | NTT R&D Website

(built from the utterances of a large number of speakers) and deep learning to synthesize high-quality

https://www.rd.ntt/e/research/JN202302_20937.html

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

for atypical failure in a network Deep learning based anomaly detection technology - DeAnoS: Deep

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

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

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

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

Publications [2019] | NTT Device Technology Laboratories | NTT R&D Website

testing time” in Proceedings of SPIEOpticalMetrology, 2019/6. K. Tanaka et al., “Distributed Deep Learning

https://www.rd.ntt/e/dtl/technology/publications2019.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

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

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

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

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

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

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

Network Virtualization Technology for an NFV Infrastructure to Drive Innovation in the Network | NTT R&D Website

, a high-performance machine would be necessary to run artificial intelligence or deep learning

https://www.rd.ntt/e/research/JN202303_21277.html