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Industrial AI Blog

A technical blog to share Hitachi’s application of AI to real world challenges, leveraging our unique portfolio of IT-related digital technologies, operational technology (OT) and products.

Empathy over efficiency: How human-centered design is transforming AI

Prateek Mital R&D Centre Hitachi India Pvt. Ltd. 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 shift is underway—one t...
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Industrial AI BlogMachine learningAnalyticsDesign thinkingSystem designAI ethics

Making space for the data economy - A machine learning solution for data compression

Aniruddha Rajendra RAO Research & Development Division Hitachi America, Ltd. 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-driven opport...
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Industrial AI BlogAI & Data scienceMachine learning

Can LLMs reason logically? If not, how can we teach them?

Terufumi MORISHITA Research & Development Group Hitachi, Ltd. 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 eleme...
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Industrial AI BlogAI & Data scienceLarge language models

Vibration analysis for equipment degradation assessment and preventive maintenance

Prateek Mital R&D Centre, Hitachi India Pvt. Ltd. Chandrasekar Venkatraman R&D Division, Hitachi America Ltd. 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 f...
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Industrial AI BlogAI & Data scienceManufacturing

Your supplier’s supplier is not your supplier – Graph learning for transparency in deep-tier supply networks

Qi XIU Research & Development Division Hitachi America, Ltd. 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 company’s direct supplier but extends further to de...
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Industrial AI BlogAI & Data science

Can AI save the financial industry from documents with different shapes and sizes? -- A self-supervised model for extracting information from different formats

Yasushi Miyata Research & Development Division Hitachi America, Ltd. Data is the new “oil” in driving the digital economy. It has the potential to give industries a competitive business advantage. But, data, like oil, also needs to be refined for its intended use. My colleagues and I have been wo...
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Industrial AI BlogAI & Data scienceFinancial sector

Can the economy be as predictable as the weather? -- Forecasting GDP growth with machine learning

Arnab Chakrabarti, PhD, MFE Research & Development Division Hitachi America, Ltd. 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, predicting significan...
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Industrial AI BlogAI & Data science

Using machine learning to improve end-of-life care for advanced cancer patients

George Chalkidis, PhD Research & Development Group Hitachi, Ltd. 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 this stage and ...
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Industrial AI BlogAI & Data scienceHealthcare

Geotagged visual localisation for accurate urban autonomous driving

Alireza Ahrabian, PhD European R&D Centre, Hitachi Europe Ltd. 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 alleviate...
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Industrial AI BlogAI & Data scienceMobility

Uncovering the mystery of ensemble learning through the information theoretical lens

Terufumi Morishita Research & Development Group, Hitachi, Ltd. Ensemble learning (EL) is a method in machine learning that allows us to combine predictions from multiple AI models to produce a better prediction. This allows us to apply “higher-performance," more accurate, AI in solving the comple...
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Industrial AI BlogAI & Data science

An integrated approach to optimising inter-warehouse transportation for more efficient supply chains

Jonas Christoffer Villumsen European R&D Centre, Hitachi Europe Ltd. Junko Hosoda Research & Development Group, Hitachi, Ltd. Introduction Supply chains are often complex networks including many facilities such as warehouses, factories, depots, and shops interconnected by transport links via land...
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Industrial AI BlogAI & Data scienceManufacturing

How can we help reduce plastic waste? Facilitating the use of recycled plastics using in-mold sensors to optimize the injection molding process

Daisuke Yagi Research & Development Group, Hitachi, Ltd. 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 University of Leeds, if this waste is not properly managed, then there will be 1.3 billio...
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Industrial AI BlogAI & Data scienceMaterials science & Production engineeringManufacturing
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