Result for "Transfer Learning",175

Research on Transfer Learning to Give AI the Same Versatility and Skill as Humans｜NTT R&D Website

Research on Transfer Learning to Give AI the Same Versatility and Skill as Humans｜NTT R&D Website

https://www.rd.ntt/e/research/RDNTT20211001.html

Atsutoshi Kumagai | NTT R&D Website

belonging to the lab/center/dept Machine Learning for Knowledge Transfer We aim to develop machine learning

https://www.rd.ntt/e/organization/researcher/special/s_056.html

C06-e.pdf

in data transfer performance, which is a problem in AI learning in a distributed environment. #C06 As

https://www.rd.ntt/forum/2025/doc/C06-e.pdf

NTT Communication Science Laboratories Open House 2020

Exhibition Download Contact Home / Exhibition Program Exhibition Program Science of Machine Learning 04 Fast

https://www.rd.ntt/cs/event/openhouse/2020/exhibition4/index_en.html

G03-01-e.pdf

-01 Motor-skill transfer: Movement support via brainwaves You can control devices such as wheelchairs

https://www.rd.ntt/forum/2024/doc/G03-01-e.pdf

E37_leaf_e.pdf

coordination control mechanism in the spinal cord. It is expected that the model will enable learning of muscle

https://www.rd.ntt/forum/2023/doc/E37_leaf_e.pdf

D01-10-e.pdf

LLMs. • Advanced AI algorithms such as transfer learning and federated learning. • Solutions can be

https://www.rd.ntt/forum/2024/doc/D01-10-e.pdf

Efforts Concerning Enhancement of Human Ability to Achieve the Remote World | NTT R&D Website

augmentation motor-skill-transfer technology embodied-knowledge technology To achieve the Remote World for

https://www.rd.ntt/e/research/JN202209_19519.html

iChie: Speeding up Data Collaboration between Companies | NTT R&D Website

functions: Data-transfer control based on network characteristics Mandatory application of privacy policy to

https://www.rd.ntt/e/research/JN20191123_h.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

Cybernetics | NTT R&D Website

human capabilities by making it possible to transfer skills independent of time and place. We are

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

NTT Communication Science Laboratories Open House 2020 Exhibition

Exhibition Program Science of Machine Learning People of the WWW, give us your computation each! Generating

https://www.rd.ntt/cs/event/openhouse/2020/exhibition_en.html

スライド 1

Transfer anomaly detection for unseen datasets We propose a method to improve the anomaly detection

https://www.rd.ntt/cs/event/openhouse/2020/download/a_04_en.pdf

Real-Time Monitoring of Neural Activity in the Brain

efficient functions including transfer, storage and other forms of processing of a large quantity of

https://www.rd.ntt/e/brl/result/activities/file/report00/E/report07_e.html

頑健な半教師あり学習法と自然言語処理への応用

semi-supervised classification method for transfer learning,” Proc. of the 19th ACM International

https://www.rd.ntt/cs/event/openhouse/2012/panel/panel_4.pdf

Motor-skill-transfer technology | NTT R&D Website

Motor-skill-transfer technology | NTT R&D Website NTT R&D Website NTT Human Informatics

https://www.rd.ntt/e/hil/category/cybernetics/motorskilltransfer/

0053.pdf

separation (BSS)[4] is a possible candidate for multi-channel noise cancellation. However, the learning of a

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0053.pdf

0141.pdf

following sections. Below, matrix X and transfer function matrix X(z) = ΣτXτ z−τare M×N matrices. X can be

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0141.pdf

poster_en_23.pdf

textures, we will be able not only to transfer the content of a sound but also to manipulate its fine

https://www.rd.ntt/cs/event/openhouse/2017/exhibition/23/poster_en_23.pdf

Hideki Yamamoto - Senior distinguished researcher

learning techniques (process informatics). （Latest update：Apr. 9th, 2026） Representative research

https://www.rd.ntt/brl/people/hideki/E/

Stage Production for Celebration of Torch Relay × Ultra-realistic Communication Technology Kirari!｜NTT R&D Website

transfer the artist on the main stage and the other was to transfer the fans at the venue next to the

https://www.rd.ntt/e/research/JN202111_16128.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

Position under active recruitment: Research and development of technologies for forecasting the future of the global environment｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

processing, machine learning, and AI technologies. Beyond the research phase, we aim to implement underwater

https://www.rd.ntt/e/se/recruitment/focus07.html

The Preferential Reconstitution of Receptor Proteins into Model Lipid Domains Studied by Atomic Force Microscopy

role in biological membranes. They bind to ligand molecules and transfer signals into the cells by

https://www.rd.ntt/e/brl/result/activities/file/report08/report11.html

Marc Delcroix | NTT R&D Website

dereverberation algorithm using transfer function estimates with overestimated order" 2006 IEEE Kansai section

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

Optimal operation technologies for fusion reactors | NTT Space Environment and Energy Laboratories | NTT R&D Website

(AI) and machine learning (ML) for high-speed control of fusion plasma with temperatures above 100

https://www.rd.ntt/e/se/technology/nuclear_fusion.html

About Us | NTT Access Network Service Systems Laboratories | NTT R&D Website

transfer not dependent on specific protocols. Wireless Access Technology: multi-wireless proactive control

https://www.rd.ntt/e/as/overview/

An Efficient Event-driven Inference Approach to Support AI Applications in IOWN Era｜NTT R&D Website

) technologies such as deep learning are being applied to many commercial services worldwide and steadily

https://www.rd.ntt/e/research/JN202012_8897.html

Position under active recruitment: Research and development on environment and socioeconomic nexus forecasting technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

using machine-learning technology, etc., conduct demonstration tests, and implement the methods

https://www.rd.ntt/e/se/recruitment/focus08.html

Kyosuke Nishida | NTT R&D Website

Contrastive Transfer Learning with Dual-adapter Tuning", in the 2023 Conference on Empirical Methods in

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

main.dvi

main.dvi INTRODUCING NEW MECHANISM IN THE LEARNING PROCESS OF FDICA-BASED SPEECH SEPARATION

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0045.pdf

Development of Next-Generation Data Hub Technology That Connects Data Owners and Data Users with Peace of Mind, Safety and Ultra-low Latency｜NTT R&D Website

-analyzed data, reduced data-transfer costs through metadata-based delivery, more advanced data access, and

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

Position under active recruitment：Research and development of real-time prediction and control of fusion plasma for optimal operation of fusion reactors｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

artificial intelligence (AI) and machine learning (ML) to rapidly calculate the future plasma state and

https://www.rd.ntt/e/se/recruitment/focus02.html

Machine Learning Using an On-chip Photonic Neural Network--Changing the Future through Photonic Technology | NTT R&D Website

Machine Learning Using an On-chip Photonic Neural Network--Changing the Future through Photonic

https://www.rd.ntt/e/research/JN202406_26663.html

NTT物性科学基礎研究所 上席特別研究員 山本秀樹

SrRuO3 films addressed by machine-learning-assisted molecular beam epitaxy, Japanese Journal of Applied

https://www.rd.ntt/brl/people/hideki/result.html

Hideki Yamamoto - Senior distinguished researcher

-learning-assisted molecular beam epitaxy, Japanese Journal of Applied Physics 62, SA0801/1-15 (2023). [2] Y

https://www.rd.ntt/brl/people/hideki/E/result.html

Molecular and Bio Science Research Group | NTT Basic Research Laboratories | NTT R&D Website

Using a Machine Learning Model Based on a Large-Scale Population Dataset J. Clin. Med. 14 (1), 21 (2025

https://www.rd.ntt/e/brl/group_introduction/group_003.html

Position under active recruitment: Research and development of proactive-environmental-adaptation technologies｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

skills Qualities we are looking for A desire to get actively involved in investigating and learning about

https://www.rd.ntt/e/se/recruitment/focus06.html

Computational Modeling Research Group | NTT Communication Science Laboratories | NTT R&D Website

). Macau, China. Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko & Noboru Harada (2024). LEARNING

https://www.rd.ntt/e/cs/team_project/media/computational_modeling/

Major issues and research trends in the evolution of artificial intelligence (AI)｜NTT R&D Website

, aggregate and analyze data for each field of application, so cost increases dramatically. Transfer learning

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

論文｜NTT物性科学基礎研究所｜NTT R&D Website

"Direct Metal Transfer on Swellable Hydrogel with Dehydration-Induced Physical Adhesion" ACS Omega 9 (41

https://www.rd.ntt/brl/result/publications/paper_2024.html

Publications | NTT Basic Research Laboratories | NTT R&D Website

), 044001 (2024). S. Himori, R. Takahashi, A. Tanaka, and M. Yamaguchi "Direct Metal Transfer on Swellable

https://www.rd.ntt/e/brl/result/publications/paper_2024.html

事象モデリング研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

). LEARNING TO ASSESS SUBJECTIVE IMPRESSIONS CONVEYED THROUGH SPEECH. European Signal Processing Conference

https://www.rd.ntt/cs/team_project/media/computational_modeling/

Operation to Achieve Robust Networks | NTT R&D Website

systems from various data using deep learning and detects anomalies on the basis of deviations from the

https://www.rd.ntt/e/research/JN202310_23440.html

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

. Basic technologies for information transfer and speech coding NTT has been continuously engaged in the

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

Nanophotonic Technologies toward Opto-electronic Integrated Accelerators | NTT R&D Website

include analog processing as in machine learning and photonic microwave-signal processing, and an opto

https://www.rd.ntt/e/research/JN202008_5995.html

0067.pdf

z−W A A . Here, the norm of transfer function matrix ( )zX is defined as ( )zX 1/ 2 2 k k

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0067.pdf

0003.pdf

, we consider the situation that the transfer function matrix of the mixing process becomes almost

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0003.pdf

Position under active recruitment:Research and Development on Energy Networks｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

/machine learning Knowledge of data-center facilities and experience in their design and maintenance

https://www.rd.ntt/e/se/recruitment/focus03.html

PSZ Active Noise Control and Desired Sound Selection Technologies for Creating a Comfortable and Safe Sound Environment in Vehicle Cabins | NTT R&D Website

can transfer acoustic data in about 1/50th the time required by conventional hardware and process

https://www.rd.ntt/e/research/JN202404_25738.html

Software Innovation for Disaggregated Computing｜NTT R&D Website

as Infiniband and remote direct memory access (RDMA), which is a low-latency transfer technology for

https://www.rd.ntt/e/research/JN202012_8919.html

Highly Efficient, Low-cost Optical Communications through Optimal Communication Path Design Technology | NTT R&D Website

"reinforcement learning," with which computers try to find better solutions through trial and error, to the

https://www.rd.ntt/e/research/JN202509_36072.html

Even If Facing Difficulties, Create New Value While Building on the Achievements of Your Predecessors｜NTT R&D Website

to transfer one electron accurately and quickly while minimizing as much error as possible. Silicon

https://www.rd.ntt/e/research/JN202112_16407.html

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

learning that enables knowledge transfer from diverse data. Goal is to create machine learning techniques

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

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D Website

Learning and Intelligent Systems Research Group | NTT Communication Science Laboratories | NTT R&D

https://www.rd.ntt/e/cs/team_project/icl/ls/

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

. 2026/6/2 Hans Jarett Ong, Yoichi Chikahara, Tomoharu Iwata, "MetaCaDI: A Meta-Learning Framework for

https://www.rd.ntt/cs/team_project/icl/ls/

山本 秀樹 | NTT R&D Website

: Charge transfer gap for T'-RE2CuO4 and T-RE2CuO4 as estimated from Madelung potential calculations

https://www.rd.ntt/organization/researcher/superior/s_024.html

Hideki Yamamoto | NTT R&D Website

: Charge transfer gap for T'-RE2CuO4 and T-RE2CuO4 as estimated from Madelung potential calculations

https://www.rd.ntt/e/organization/researcher/superior/s_024.html

Microsoft Word - ica2003_cdma_fin.doc

diagonalization of the global transfer function. The global transfer function presents the combined effect of the

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0148.pdf

Signal Processing Research Group | NTT Communication Science Laboratories | NTT R&D Website

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

https://www.rd.ntt/e/cs/team_project/media/signal/

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

分子生体機能研究グループ｜NTT物性科学基礎研究所｜NTT R&D Website

. Tomoike "Predicting Heart Rate at the Anaerobic Threshold Using a Machine Learning Model Based on a Large

https://www.rd.ntt/brl/group_introduction/group_003.html

Position under active recruitment: Research and development related to extreme weather futures forecasting technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

simulations, and real-time forecastion methods utilizing machine learning. ■In collaboration with operating

https://www.rd.ntt/e/se/recruitment/focus09.html

Media Information Laboratory Past news | NTT Communication Science Laboratories | NTT R&D Website

, Tomohiro Tanaka, Takatomo Kano, Atsunori Ogawa, Marc Delcroix, ” Transfer Learning from Pre-trained

https://www.rd.ntt/e/cs/team_project/media/past_news.html

Position under active recruitment: Research on long-term future-scenario-analysis technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

machine learning Knowledge and application experience regarding large language models (LLMs) and

https://www.rd.ntt/e/se/recruitment/focus05.html

Research and Development of Ocean-Energy Technology｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

Experience in building energy models utilizing AI, machine learning, and simulations Experience in

https://www.rd.ntt/e/se/recruitment/focus11.html

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

with high-precision AI N-E16IOWN EvolutionSelf-evolving NW-AI framework using autonomous and transfer

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

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

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

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

In-network Service Acceleration Platform (ISAP) | NTT R&D Website

an INC platform that operates on mobile networks. It accelerates data processing and transfer within

https://www.rd.ntt/e/research/JN202410_29828.html

Wireless Technologies toward Extreme NaaS—Multi-radio Proactive Control Technologies (Cradio®)｜NTT R&D Website

base station targeted for use. Prediction technology using AI also uses transfer learning technology

https://www.rd.ntt/e/research/JN202108_14898.html

0090.pdf

learning algorithm. Based on a local convergence anal- ysis, the optimal nonlinearity gm(.) is suggested to

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0090.pdf

筋協調運動を促す運動能力転写技術【運動能力転写技術の一形態】 | NTT R&D Website

. Motor-Skill-Transfer Technology for Piano Playing with Electrical Muscle Stimulation. In SIGGRAPH Asia

https://www.rd.ntt/iown_tech/post_39.html

0015.pdf

number called the learning rate. Thus, 0 < c ≤ 1 is a region for faster convergence with the ratio of r

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0015.pdf

2020_booklet_en.pdf

Science of Machine Learning Science of Communication and Computation 01. People on the WWW, give

https://www.rd.ntt/cs/event/openhouse/2020/download/2020_booklet_en.pdf

R&D History | NTT R&D Website

) and heart rate. Developed Jubatus, an open source machine learning platform that intelligently

https://www.rd.ntt/e/about/chronicle/

Research and development of technologies for reducing environmental impact utilizing algae and plants｜Careers｜NTT Space Environment and Energy Laboratories｜NTT R&D Website

livestock production Skills in analytically searching for problem-solving methods using machine learning

https://www.rd.ntt/e/se/recruitment/focus04.html

Xuebin Hu and Hidefumi Kobatake

ambiguity of permutation and scaling. Then we can either transfer the bin unmixing filters into time domain

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0026.pdf

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

, Atsunori Ogawa & Marc Delcroix (2023). Transfer Learning from Pre-trained Language Models Improves End-to

https://www.rd.ntt/cs/team_project/media/

Augmenting Communication Capabilities with Cutting-edge Voice-conversion Technology that Enables Users to Freely Customize the Impression of Their Voice | NTT R&D Website

augment communication capabilities in mind, I'm researching machine learning and signal processing

https://www.rd.ntt/e/research/JN202511_37040.html

0193.pdf

generalization of the INFO- MAX method in two directions: (1) handling of nonlinear mixtures, and (2) learning

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0193.pdf

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

, ” Transfer Learning from Pre-trained Language Models Improves End-to-End Speech Summarization” ・Takuhiro

https://www.rd.ntt/cs/team_project/media/past_news.html

Unlimited Innovation for a Global Sustainable Society by IOWN | NTT R&D Website

communication infrastructure with an AI infrastructure designed for learning from diverse data. At Toyota, we

https://www.rd.ntt/e/forum/2024/keynote_3.html

0136.pdf

incorporating the natural gradient ex- tension. We also present a learning method for the unknown parameters of

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0136.pdf

Recognition Research Group | NTT Communication Science Laboratories | NTT R&D Website

Networks (IJCNN), 2019, pp. 1-8. A. Kumagai, T. Iwata, Y. Fujiwara, "Transfer metric learning for unseen

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

信号処理研究グループ｜NTTコミュニケーション科学基礎研究所｜NTT R&D Website

Boeddeker & Tsubasa Ochiai (2024). Microphone Array Signal Processing and Deep Learning for Speech

https://www.rd.ntt/cs/team_project/media/signal/

0032.pdf

-GEOMETRIC LEARNING Tomoya TAKATANI, Tsuyoki NISHIKAWA, Hiroshi SARUWATARI, and Kiyohiro SHIKANO Graduate

https://www.rd.ntt/cs/team_project/icl/signal/iwaenc03/cdrom/data/0032.pdf

Project Humanity: Providing Intimate Support to Respect the Humanity of Individuals | NTT R&D Website

Laboratories used motor-skill-transfer technology based on the artist's biosignal information. On stage at the

https://www.rd.ntt/e/research/JN202402_24978.html

西田 京介 | NTT R&D Website

Contrastive Transfer Learning with Dual-adapter Tuning", in the 2023 Conference on Empirical Methods in

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

2019_booklet_english.pdf

Venue: NTT Keihanna Building 01 Learning and finding congestion-free routes ～Online shortest path

https://www.rd.ntt/cs/event/openhouse/2019/download/2019_booklet_english.pdf

Technical Approaches for Operations to Accelerate Digital Transformation | NTT R&D Website

autonomous learning technology that automatically extracts the causes of faults and response actions from

https://www.rd.ntt/e/research/JN202207_18752.html

NTTBrl_honbun_E_220301-2.indd

transfer and detection Nanodevices with Novel Functions Novel and high performance nanodevices based on

https://www.rd.ntt/e/brl/result/activities/file/annual_report/Annual_report_2021_E.pdf

0152.pdf

transfer function should be reduced. For the BSD based on independent component analysis (ICA), various

https://www.rd.ntt/cs/team_project/icl/signal/ica2003/cdrom/data/0152.pdf

論文｜NTT物性科学基礎研究所｜NTT R&D Website

transfer statistics across capacitively coupled silicon nanodots" Commun. Phys. 9 (1), 8 (2026). T. G. Sato

https://www.rd.ntt/brl/result/publications/

Publications | NTT Basic Research Laboratories | NTT R&D Website

(2026). K. Chida, A. Andrieux, and K. Nishiguchi "Coulomb-mediated single-electron heat transfer

https://www.rd.ntt/e/brl/result/publications/

論文｜NTT物性科学基礎研究所｜NTT R&D Website

transfer statistics across capacitively coupled silicon nanodots" Commun. Phys. 9 (1), 8 (2026). T. G. Sato

https://www.rd.ntt/brl/result/publications/paper_2026.html

Publications | NTT Basic Research Laboratories | NTT R&D Website

(2026). K. Chida, A. Andrieux, and K. Nishiguchi "Coulomb-mediated single-electron heat transfer

https://www.rd.ntt/e/brl/result/publications/paper_2026.html

NTT's LLM "tsuzumi": Capable of Comprehending Graphical Documents | NTT R&D Website

. Nishida, K. Maeda, and K. Saito, “DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning

https://www.rd.ntt/e/research/JN202406_26653.html

Updates | NTT R&D Website

Deletion Technologies 04/23/2026 Well-being Competency in Learning, Work, and Research Settings 04/23/2026

https://www.rd.ntt/e/update_information/

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

delivers ultra big data to computing resources without copying for LLM learning Leaflet List of IOWN Now

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

NTT's LLM "tsuzumi" | NTT R&D Website

token set or vocabulary by learning from a collection of texts. LLMs developed outside Japan have a

https://www.rd.ntt/e/research/JN202406_26651.html