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Industrial AI Blog

日立の強みであるIT×OT×プロダクトの知見を活かし、AI技術で実世界の課題解決に挑戦している研究者の取り組みを紹介します。

機器の劣化評価と予防保全のための振動解析（英語）

Vibration analysis for equipment degradation assessment and preventive maintenance The cost of operation and maintenance of expensive equipment is a serious issue for business owners, so when we look at the high value assets such as wind turbine gear boxes, one of the first questions that comes t...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス産業

あなたのサプライヤーのサプライヤーは、あなたのサプライヤーではない: 多層供給網における透明性をもたらすグラフ学習（英語）

Your supplier’s supplier is not your supplier – Graph learning for transparency in deep-tier supply networks If risk is a symptom of complexity, then modern supply networks carry a plethora of risks. Modern supply chains often consist of multiple tiers. Risk exposure is no longer limited to a com...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス

AIは多種多様な金融分野の書類を扱えるのか？ ― 異なるフォーマットから情報を抽出する自己教師ありモデル（英語）

Can AI save the financial industry from documents with different shapes and sizes? -- A self-supervised model for extracting information from different formats Data is the new “oil” in driving the digital economy. It has the potential to give industries a competitive business advantage. But, data...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス金融

天気と同じように経済も予測可能か ― 機械学習を用いたGDP予測（英語）

Can the economy be as predictable as the weather? -- Forecasting GDP growth with machine learning There is an old joke that God created economists to make weathermen look good. Economists owe their notoriety to one task they are not very good at: forecasting. Notwithstanding its difficulty, predi...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス

AIでがん患者の終末期ケアを改善する（英語）

Using machine learning to improve end-of-life care for advanced cancer patients Patients with incurable advanced cancer should have access to high-value, compassionate care with a focus on improving quality of life, as aggressive treatments may have limited ability to meaningfully extend life at ...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンスヘルスケア

Geotagged visual localisation 手法による都市部自動運転の高精度化（英語）

Geotagged visual localisation for accurate urban autonomous driving Rapid urbanisation and large numbers of private car ownership have resulted in significantly more congested roads, leading to ever increasing levels of pollution. Autonomous vehicles (AVs) have been proposed as a solution to alle...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンスモビリティ

情報理論に基づく、アンサンブル学習の基本原理の解明（英語）

Uncovering the mystery of ensemble learning through the information theoretical lens In this blog post, we introduce our paper on a theoretical framework of EL, which was presented at ICML 2022, the highest-level international conference in machine learning [1]. We proposed a fundamental theory t...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス

サプライチェーン効率化のための倉庫間輸送最適化を実現する統合型アプローチ（英語）

An integrated approach to optimising inter-warehouse transportation for more efficient supply chains The issue to realise consolidated deliveries is to determine the delivery region of consolidated commodities, the location of consolidation warehouses, the transport schedule between regions, as w...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス産業

資源循環を加速するIoT金型を活用した射出成形プロセスの最適化（英語）

How can we help reduce plastic waste? Facilitating the use of recycled plastics using in-mold sensors to optimize the injection molding process According to Statista, humans produce nearly 300 million metric tons of plastic waste each year[1] and according to a prediction model announced by the U...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス材料科学＆生産産業

効率的な水需要予測のためのディープラーニング手法（英語）

Application of deep learning methods for more efficient water demand forecasting Water systems around the world are under tremendous stress to meet the growing water demand due to population growth, rapid urbanization, climate change, etc. Optimal water allocation and water distribution system co...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス

エージェントベース・サプライチェーンシミュレータを用いたベイズ最適化アルゴリズムによる多段階在庫管理（英語）

Bayesian optimization algorithm with agent-based supply chain simulator for multi-echelon inventory management Having an efficient and resilient supply chain (SC) is critical for companies to stay competitive, and the disruptions caused by COVID-19 in the global supply chains have re-emphasized t...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス材料科学＆生産産業

畳み込みニューラルネットワークを用いた熱電併給システム運転計画手法の開発 （英語）

Operation planning method using convolutional neural network for combined heat and power system The energy efficiency of a combined heat and power (CHP) can reach about 85%, whereas conventional thermal power plants operate only at 45% efficiency or lower. CHPs perform better mainly because the h...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス
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