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cardiac modeling,” under review. [2] T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning and level set
https://www.rd.ntt/cs/event/openhouse/2020/download/c_21_en.pdf
Smart Traffic Coordination via Learnable Digital Twins-Future Possibilities of Distributed Deep Learning | NTT R&D Website
Digital Twins-Future Possibilities of Distributed Deep Learning 11/10/2022 Smart Traffic Coordination via
https://www.rd.ntt/e/research/JN202208_19150.html
NTT Communication Science Laboratories Open House 2020
technology and our approaches with the theme "What can be done when the voice is combined with deep learning
https://www.rd.ntt/cs/event/openhouse/2020/research1/index_en.html
Yuka Hashimoto | NTT R&D Website
, ICLR 2024. Yuka Hashimoto, Masahiro Ikeda, and Hachem Kadri, Deep learning with kernels through RKHM
https://www.rd.ntt/e/organization/researcher/special/s_083.html
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improve the ASR performance. Our AI system is modeled based on state-of-the-art deep learning technology
https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/poster_en_17.pdf
Yasutoshi Ida | NTT R&D Website
, Japan (2016 - 2018) Keywords AI, Machine Learning, Data Mining, Sparse Modeling, Optimal Transport, Deep
https://www.rd.ntt/e/organization/researcher/special/s_064.html
NTT Communication Science Laboratories Open House 2017 Program
) 11:00 - 11:40 Generative personal assistance with audio and visual examples Deep learning opens the
https://www.rd.ntt/cs/event/openhouse/2017/program_en.html
Communication Science that Adapts to the Changing Present and Creates a Sustainable Future-Aiming to Create Technology that Brings Harmony and Symbiosis among People, Society, and the Environment | NTT R&D Website
surpass human abilities With the advent of deep learning, artificial intelligence (AI) technology related
https://www.rd.ntt/e/research/JN202208_19139.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
Automated Data Analysis "RakuDA" | NTT Software Innovation Center | NTT R&D Website
research area of distributed data processing platform SE project includes deep learning and machine
https://www.rd.ntt/e/cct/team_researchers/team/250.html
NTT Communication Science Laboratories Open House 2020
Spotting, a deep reinforcement learning approach to object search from a scene represented by a 3D point
https://www.rd.ntt/cs/event/openhouse/2020/exhibition19/index_en.html
NTT Communication Science Laboratories Open House 2019
population data Improving the accuracy of deep learning Larger capacity output function for deep learning
https://www.rd.ntt/cs/event/openhouse/2019/program_en.html
AI Hears Your Voice as if It Were Right Next to You-Audio Processing Framework for Separating Distant Sounds with Close-microphone Quality | NTT R&D Website
microphones, and their integration with deep learning-based speech enhancement (e.g., SpeakerBeam). Tomohiro
https://www.rd.ntt/e/research/JN202208_19141.html
NTT Communication Science Laboratories Open House 2017
Exhibition Program 16 Generative personal assistance Deep learning opens the way to innovative media
https://www.rd.ntt/cs/event/openhouse/2017/exhibition/16/index_en.html
The Coming Era of Large-scale Data Calls for a Fast and Accurate Data Analytics Platform | NTT R&D Website
machine learning. Deep learning (a technology in which computers autonomously analyze large amounts of
https://www.rd.ntt/e/research/JN202410_29841.html
poster_en_16.pdf
process automatically. To this end, we propose two kinds of learning-based (specifically, deep learning
https://www.rd.ntt/cs/event/openhouse/2017/exhibition/16/poster_en_16.pdf
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comfort and energy saving ⇒ Maximize conflicting indicators by deep reinforcement learning to calculate
https://www.rd.ntt/cs/event/openhouse/2019/download/02_a_en.pdf
Network-AI技術 | NTT R&D Website
Learning Based Anomaly Detection Technology for ICT Services -DeAnoS: Deep Anomaly Surveillance- 復旧コマンド列自動
https://www.rd.ntt/ns/qos/research/05/
Generalized Domain Adaptation | NTT Communication Science Laboratories | NTT R&D Website
is well-known that deep-learning models degrade in performance when there are environmental
https://www.rd.ntt/e/cs/team_project/media/recognition/research_media16.html
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frequency? Supervised deep learning explains the tuning in presence of reverberation The frequency
https://www.rd.ntt/cs/event/openhouse/2018/exhibition/24/poster_en_24.pdf