Imperial College London and Hitachi to launch a joint research centre for decarbonisation and natural climate solutions

News release overview Imperial College London and Hitachi to launch a joint research centre for decarbonisation and natural climate solutions London, 11th July 2022 – Imperial College London (Imperial), Hitachi, Ltd. and Hitachi Europe Ltd. (Hitachi) today announced that they have signed an agree...
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News ReleaseEnergyElectricity & PowerMobilityManufacturingDecarbonizationNatural climate solutionsNews & EventsNews Release（Energy）News Release Digital Services ＆ control

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

Development of Technology to Maintain Confidentiality While Promptly Sharing Response Measure Data with Multiple Organizations during Cyberattacks

Aiming to realize a collaborative defense platform across multiple organizations to combat more frequent and sophisticated cyberattacks Hitachi, Ltd. has developed technology in partnership with Keio University and Chubu Electric Power Co., Inc. (hereinafter “Chubu Electric Power”) to maintain co...
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R&D TopicsSoftware & SystemsElectricity & PowerSecurityResilience

Application of deep learning methods for more efficient water demand forecasting

Anjana G. Rajakumar R&D Centre, Hitachi India Pvt. Ltd. Background 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 control are esse...
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Industrial AI BlogAI & Data science

Hitachi and Hitachi Astemo Awarded the Prime Minister Prize of the National Commendation for Invention for the Insulation Structure of the 800V EV Inverter Power Module

News release overview Hitachi and Hitachi Astemo Awarded the Prime Minister Prize of the National Commendation for Invention for the Insulation Structure of the 800V EV Inverter Power Module Contributing to the widespread adoption of EVs and realization of carbon-neutral society through innovativ...
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News ReleaseElectronicsMeasurement & AnalysesMobilityDecarbonizationElectrificationInverterNews & EventsNews Release（Electronics）News Release（Measurement & Analyses）

Hitachi and Hitachi Astemo Developed Thin-type Inverter Technology for EVs That is More Compact and Energy Efficient

News release overview Hitachi and Hitachi Astemo Developed Thin-type Inverter Technology for EVs That is More Compact and Energy Efficient New structure with simplified wiring improves production efficiency and reduces CO2 emissions Tokyo, May 24, 2022 – Hitachi, Ltd (TSE: 6501, "Hitachi") and Hi...
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News ReleaseElectronicsMeasurement & AnalysesMobilityDecarbonizationElectrificationInverterNews & EventsNews Release（Electronics）News Release（Measurement & Analyses）

System Control Technology Development for Quick Layout Changes of Goods Sorting Lines at Warehouses and Other Logistics Facilities

Eliminating Manual Adjustments During Layout Changes of Automated Lines Through Mutual Recognition and Coordination Between Material Handling Devices Hitachi has developed system control technologies that reduce on-site manual labor when establishing or changing the layout of goods sorting lines ...
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R&D TopicsDigital service platformsElectronicsControl systems & MechatronicsManufacturing

Development of Technology Using AI for Automated Process Optimization of Plastic Molding Conditions to Broaden Use of Recycled Plastic Materials

Concept Proven to Successfully Extract Features Suitable for Machine Learning from In-mold Sensors Injecting Recycled Materials to Automatically Stabilize Molded Parts Quality When Using Recycled Materials with Varying Material Properties Hitachi, Ltd. has developed technology using AI to automat...
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R&D TopicsAI & Data scienceDigital service platformsMaterials science & Production engineeringManufacturingCircular economySustainability

Hitachi designs recognized in the 2022 iF DESIGN AWARDS

We are proud to announce that five designs created by the Research & Development Group of Hitachi, Ltd. have been selected to the iF DESIGN AWARD 2022, organized by iF International Forum Design in Germany We are proud to announce that five designs created by the Research & Development Group of H...
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R&D TopicsDesign & User experienceLifestyleMobilityUrban

Bayesian optimization algorithm with agent-based supply chain simulator for multi-echelon inventory management

Haiyan Wang R&D Division, Hitachi America Ltd. Introduction 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 the importance of effective supply chain management ...
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Industrial AI BlogAI & Data scienceMaterials science & Production engineeringManufacturing

Development of Deep Predictive Learning Robot Control Technologies Enabling Real-Time Decision Making and Movement Adapting to Operational and Environmental Changes

The Hitachi Control Technologies Covered in Science Robotics, the Most Prestigious Academic Journal in the Robotics Engineering Field Hitachi, Ltd. worked with a research group lead by Professor Tetsuya Ogata from the Faculty of Science and Engineering of Waseda University to develop deep predic...
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R&D TopicsElectronicsControl systems & MechatronicsAI & data scienceManufacturingRobot system

Operation planning method using convolutional neural network for combined heat and power system

Tetsushi Ono Research & Development Group, Hitachi, Ltd. Background 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 heat from generators can be u...
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Industrial AI BlogAI & Data science
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