Result for "Deep Learning",316

NTT Communication Science Laboratories Open House 2015

Extracting essential information from sounds - Advances in distant speech recognition by deep learning

https://www.rd.ntt/cs/event/openhouse/2015/exhibition/20/index_en.html

NTT Communication Science Laboratories Open House 2020

, “Edge-consensus learning: deep learning on P2P networks with nonhomogeneous data,” submitted to KDD 2020

https://www.rd.ntt/cs/event/openhouse/2020/exhibition20/index_en.html

NTT Communication Science Laboratories Open House 2016 Program

deep learning and signal processing that are making speech recognition leap forward - Takuya Yoshioka

https://www.rd.ntt/cs/event/openhouse/2016/program_en.html

Toshiki Shibahara | 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/toshiki_shibahara.html

NTT Communication Science Laboratories Open House 2016

How did you get here? Where will you go? - Trajectory analysis and prediction using deep learning

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/5/index_en.html

NTT Communication Science Laboratories Open House 2018

hypothesis selection Abstract We propose an AI system (a deep learning model) that solves two-choice

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/index_en.html

The Front Line of Data Security｜NTT R&D Website

Learning Processing in the Deep Learning of the Standard AI with Encryption As introduced in the first

https://www.rd.ntt/e/security/0002.html

The Day a System Becomes a Conversation Partner—Exploring New Horizons in Social Dialogue Systems with Large-scale Deep Learning｜NTT R&D Website

with Large-scale Deep Learning｜NTT R&D Website NTT R&D Website Research&Activity The Day a System

https://www.rd.ntt/e/research/JN202107_14467.html

Unsupervised Learning of 3D Representations from 2D images | NTT Communication Science Laboratories | NTT R&D Website

Unsupervised Learning of 3D Representations from 2D images | NTT Communication Science

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media15.html

スライド 1

Distributed Computing Technology Project, Software Innovation Center 05 Memory efficient deep learning for

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/5/poster_en_5.pdf

E07_leaf_e.pdf

. Summary Our technology can quickly generate efficient routes using AI (deep reinforcement learning) while

https://www.rd.ntt/forum/2023/doc/E07_leaf_e.pdf

NTT Communication Science Laboratories Open House 2020 Exhibition

spotting for efficient object search Deep learning without data aggregation from nodes Asynchronous

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

橋本 悠香 | NTT R&D Website

Kadri, Deep learning with kernels through RKHM and the Perron-Frobenius operator, NeurIPS 2023. Yuka

https://www.rd.ntt/organization/researcher/special/s_083.html

Fast Sparse Modeling Technology Opening Up the Future with Ultra-high-dimensional Data | NTT R&D Website

Future with Ultra-high-dimensional Data sparse modeling deep learning high-dimensional data As one pillar

https://www.rd.ntt/e/research/JN202304_21676.html

NTT Communication Science Laboratories Open House 2020

physical laws for 3D cardiac modeling,” under review. T. Ngo, Z. Lu, G. Carneiro, “Combining deep learning

https://www.rd.ntt/cs/event/openhouse/2020/exhibition21/index_en.html

NTT Communication Science Laboratories Open House 2018

Exhibition Program 5 Memory efficient deep learning for mobile devices Quantized neural networks for model

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/5/index_en.html

P11_leaf_e.pdf

computing resources without copying for LLM learning Remote computing with APN - Future of tsuzumis' deep

https://www.rd.ntt/forum/2023/doc/P11_leaf_e.pdf

NTT Communication Science Laboratories Open House 2019

Download Contact Home / Program / Exhibition Program Exhibition Program Science of Machine Learning 05

https://www.rd.ntt/cs/event/openhouse/2019/exhibition5/index_en.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

Communication with Desired Voice | NTT R&D Website

in modifying a speech waveform in deep learning. One involves the sampling rate. For example, 16-kHz

https://www.rd.ntt/e/research/JN202009_6715.html