Result for "Deep Learning",273

Controlling the Color Appearance of Objects by Optimizing the Illumination Spectrum | NTT Communication Science Laboratories | NTT R&D Website

Source-free Domain Adaptation Deep Image Generation Based on Optics and Physics Controlling the Color

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media22.html

H1-H4

personal assistance with audio and visual examples Deep learning opens the way to innovative media

https://www.rd.ntt/cs/event/openhouse/2017/talk/research2/talk_kaneko.pdf

talk_yoshioka.pdf

Advances in deep learning and signal processing that are making speech recognition leap forward 音声認識が人間に近づ

https://www.rd.ntt/cs/event/openhouse/2016/talk/research1/talk_yoshioka.pdf

Keeping the Spatial Relationship of the Eye and Arm Constant is Important for Motor Learning. Research on Sensorimotor Control Reveals Brain Mechanisms Underlying Movement Control Interview: Naotoshi Abekawa, Distinguished Researcher｜NTT R&D Website

Keeping the Spatial Relationship of the Eye and Arm Constant is Important for Motor Learning

https://www.rd.ntt/e/basic_research/0003.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

learning (programming skills (Python, Fortran, C languages), deep understanding of data analysis techniques

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

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

Research on Symbiotic Intelligence for Achieving Symbiosis among People and between People and Machines｜NTT R&D Website

deep-learning models through large-scale pre-training from huge amounts of text data. We are also

https://www.rd.ntt/e/research/JN202110_15632.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

研究員、デルクロア特別研究員、落合研究主任およびPaderborn大学との論文「Microphone Array Signal Processing and Deep Learning for

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

中谷 智広 | NTT R&D Website

processing and deep learning for speech enhancement - strong together," Interspeech, Tutorial, 2019. Tomohiro

https://www.rd.ntt/organization/researcher/superior/s_012.html

c_21.pdf

modeling,” under review. [2] T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning and level set for the

https://www.rd.ntt/cs/event/openhouse/2020/download/c_21.pdf

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

Ishikawa, Noboru Harada & Yasuhiro Oikawa (2025). SoundSil-DS: Deep Denoising and Segmentation of Sound

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

交通ダイナミクスやAIモデルの分散学習技術 | NTT R&D Website

, Guoqiang Zhang, Bastiaan Kleijn, "Edge-consensus Learning: Deep Learning on P2P Networks with

https://www.rd.ntt/iown_tech/post_35.html

Pursuing Elegance and Creating a Research-goal Umbrella | NTT R&D Website

on speech synthesis with high quality and naturalness by using an approach based on deep learning. In

https://www.rd.ntt/e/research/JN202008_6056.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

-DS: Deep Denoising and Segmentation of Sound-field Images with Silhouettes. IEEE/CVF Winter

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

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/

It's not just about predicting the future, it's about guiding someone toward a future that is better for them.｜NTT R&D Website

models: black box and white box. A black box model, representative of deep learning, is an approach for

https://www.rd.ntt/e/research/RDNTT20210101.html

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

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

active worldwide along with advances in deep learning and other artificial intelligence technologies. At

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

Natural Communication Technologies Providing Information through Natural Exchanges that Do Not Interfere with Human Activities | NTT R&D Website

) from 2D video in real time using deep learning (Fig. 1). This technology was actually used in a kabuki

https://www.rd.ntt/e/research/JN20191214_h.html