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learning processing of big data
Examples with "learning processing of big data" and their translation in Japans
AWS IoT Platform PoC Support | Kyocera Group KCCS Mobile Engineering - KCME Global Menu HOME PRODUCT PRODUCT LIST Work Efficiency IoT/LPWA Disaster Prevention/Security Enterprise Networks Cloud Solutions Work Efficiency We are starting to develop services. We have started investigating different technologies to bring added value to our customers, through machine learning processing of big data processing technologies and accumulated data, with a platform of converting, visualizing, and linking IoT data such as Sigfox at our core.
IoT向け低価格通信サービスSigfoxを用いた、アンケート集計システムを開発をプレス配信 | 京セラグループ KCCSモバイルエンジニアリング - KCME グローバルナビゲーション ホーム 製品・サービス 製品・サービス リスト 業務効率化（ビックデータ） IoT/LPWA 防災/セキュリティ ネットワークソリューション クラウドソリューション 業務効率化（ビックデータ） 弊社にてサービス展開を開始しておりますSigfoxを始めとするIoTデータを変換、可視化、連携するプラットフォームを軸に、ビックデータ処理技術、収集されたデータを機械学習処理にて付加価値をつける技術検討も開始しており、早期のサービス化を目指しております。
AWS Implementation/Operational Support | Kyocera Group KCCS Mobile Engineering - KCME Global Menu HOME PRODUCTS PRODUCT LIST Work Efficiency IoT/LPWA Disaster Prevention/Security Enterprise Networks Cloud Solutions Work Efficiency We are starting to develop services. We have started investigating different technologies to bring added value to our customers, through machine learning processing of big data processing technologies and accumulated data, with a platform of converting, visualizing, and linking IoT data such as Sigfox at our core.
AWS導入・運用支援 | 京セラグループ KCCSモバイルエンジニアリング - KCME グローバルナビゲーション ホーム 製品・サービス 製品・サービス リスト 業務効率化（ビックデータ） IoT/LPWA 防災/セキュリティ ネットワークソリューション クラウドソリューション 業務効率化（ビックデータ） 現場状況をリアルタイムに把握ができ、レポート作成時などに必要なデータ加工により大幅な時間削減・コスト削減を実現いたします。
Andere resultaten
His research interests include the areas of computer architecture, machine learning, and big data processing.
They are made capable of showing some level of artificial intelligence by leveraging technologies like machine learning, big data, natural language processing, etc.
State-of-the-art machine learning technologies, which are based on statistical processing of big data by powerful computers, are highly successful in various real-world problems such as speech recognition, image understanding, and natural language translation.
We are also conducting research in parallel and distributed computing, focusing on such fields as auto-tuning, GPU computing, big data processing, large-scale machine learning, and numerical simulation of fluid flows, structure, and seismic waves.
SMARTCARE will use a sensory system and data processing platform (big data, machine learning) to keep tracks of users' well-being and anticipate any health changes.
Apache Spark and Machine Learning Apache Spark is an ultra-fast, distributed framework for large-scale processing of big data.
Career recruitment We are looking for applicants who have experienced a wide variety of technologies regarding cloud container technologies, AI processing platform technologies, machine learning and deep learning algorithm, processing platform technologies for big data including IoT, and software engineering.
E. The IS division will engage in a wide range of research and development such as audio signal processing, biomedical sensing and signal processing, computer graphics, computer vision, and image processing, enterprise web systems, databases and data mining, big data and deep learning, cloud computing, intelligent services and intelligent environments, IoT, mobile computing, and security.
Liquid, the subject of ITOCHU's latest investment, works on image analysis technologies focused on biometric has also developed unique authentication algorithms that enable high-speed processing through big data analysis technologies utilizing machine learning, and is expanding its services to support the social infrastructure of future generations, such as the provision of personal authentication and payment services that only use biometrics.
今回出資したLiquidは、生体情報にフォーカスした画像解析技術に加え、機械学習を利用したビックデータ解析技術により、高速処理を可能とする認証アルゴリズムを独自開発し、生体認証のみでの本人認証・決済サービスを提供するなど、次世代の社会インフラを支えるサービスを展開しています。
These initial results suggest that the combination of sophisticated machine learning algorithms and "big data"-massive datasets collected from multiple sources-could accelerate both the processing time and accuracy for SAEKs throughout the US, and encourage the release of more federal and state funding for processing the kits.
これらの初期の結果は、洗練された機械学習アルゴリズムと、複数の情報源から収集されたビッグデータの大量データセットの組み合わせが、米国中のSAEKの処理時間と精度の両方を加速し、キットを処理するためのより多くの連邦および州の資金提供のリリースを奨励することを示唆しています。
A02Motor control and behaviors Internal model construction by observing others and policy acquisition through self-learning The number of studies on big data analysis for image processing or speech recognition continues to rise due to the rapid increase in the size of available data and the rapid improvement of computer performances.
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