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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。

効率よりも共感: 人間中心設計がAIにどのような変化をもたらしているか

Empathy over efficiency: How human-centered design is transforming AI In the rapidly evolving field of artificial intelligence that is increasingly complex and opaque, the design of AI systems has traditionally been driven by technical prowess and algorithmic efficiency. However, a significant sh...
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hitachi-rd @ 研究開発
Industrial AI Blog機械学習分析デザインシンキングシステムデザインAI倫理

データ・エコノミーのためのスペース確保: 機械学習によるデータ圧縮（英語）

Making space for the data economy - A machine learning solution for data compression The global datasphere is growing at an unprecedented rate, with predictions that it will reach 175 zettabytes by 2025[1] but as a 2021 MIT Technology Review notes, we’re just “scratching the surface of data-drive...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス機械学習

どのように言語モデルに論理推論を教えるのか？ ー形式論理学に基づく人工コーパスによる訓練（英語）

Can LLMs reason logically? If not, how can we teach them? Recent large language models (LLMs) have shown to be able to skillfully solve a wide range of tasks, foreshadowing the realization of artificial intelligence (AI) as "a machine that thinks like humans”[1]. To realize such AI, two elements ...
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hitachi-rd @ 研究開発
Industrial AI BlogAI＆データサイエンス大規模言語モデル

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
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