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Hokkaido University × Hitachi Hokkaido University Laboratory Sixth Forum 2026 The Future of Food: Building New Relationship Between Urban and Rural Communities
Food is essential for us to live, but it is also deeply connected to our well-being and the cultures of local communities. Today, however, our food environment faces a growing number of challenges, including climate change, the global food crisis, food loss and waste, and the declining number of ...
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DetRefiner: Making open-vocabulary object detection more reliable in dynamic real-world environments
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Effectiveness of Railway Driver Advisory System (DAS) Achieving Both Energy Efficiency and Punctual Operations
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“Social Implementation RAG” for Building Trust with Society through the Codification of Co-creation Knowledge
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How an AI Agent Platform Is Transforming Corporate Management: Hitachi’s “Customer Zero” Transformation
中居 沙緒理(日立BS） <saori.nakai.mj@hitachi.com> @ hitachi-rd-en
 
Hitachi takes on the challenge of insulated piping technology for high-voltage hydrogen production systems
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“Hitachi Physical AI Day”: Exploring the Present and Future of Physical AI
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AI & Data science

DetRefiner: Making open-vocabulary object detection more reliable in dynamic real-world environments
Soichiro Okazaki Research & Development Group Hitachi, Ltd. Why detection confidence matters in real-world AI What happens when an AI system correctly detects an object but assigns it a confidence score too low to trust—or incorrectly gives a high score to a false detection? In industrial environ...
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How an AI Agent Platform Is Transforming Corporate Management: Hitachi’s “Customer Zero” Transformation
中居 沙緒理(日立BS） <saori.nakai.mj@hitachi.com> @ hitachi-rd-en
 
“Hitachi Physical AI Day”: Exploring the Present and Future of Physical AI
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From static pruning to dynamic pruning: Accelerating graph databases through a new approach that skips reading unnecessary segments
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Industry-Government-Academia Collaboration Toward the Real-World Deployment of Autonomous Driving with a Focus on Infrastructure Development
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Development of a technology that automatically plans production line configurations using generative AI and mathematical optimization
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Hitachi’s Synthetic Biology Strategy: The Future of “Biomanufacturing” Where IT, OT, and Products Are Integrated
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Digital service platforms

“Social Implementation RAG” for Building Trust with Society through the Codification of Co-creation Knowledge
As is widely recognized, advances in digital technology, driven primarily by AI, continue to accelerate. While smartphones and generative AI have certainly become widespread rapidly, new technologies and services are not necessarily accepted by society. New challenges accompanying the spread of t...
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How an AI Agent Platform Is Transforming Corporate Management: Hitachi’s “Customer Zero” Transformation
中居 沙緒理(日立BS） <saori.nakai.mj@hitachi.com> @ hitachi-rd-en
 
“Hitachi Physical AI Day”: Exploring the Present and Future of Physical AI
hitachi-rd-en @ hitachi-rd-en
 
From static pruning to dynamic pruning: Accelerating graph databases through a new approach that skips reading unnecessary segments
hitachi-rd-en @ hitachi-rd-en
 
Development of a technology that automatically plans production line configurations using generative AI and mathematical optimization
hitachi-rd-en @ hitachi-rd-en
 
The 3rd Forum of the University of Tokyo Institute for Digital Observatory (DO) Digital Observatory in the Generative AI Era: The Potential of AI Agent Collaboration for Supply Chain Resilience
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Hitachi launches R&D on silicon quantum computers in collaboration with Intel K.K. and AIST to accelerate the shift from academic demonstration to industrial application
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Software & Systems

DetRefiner: Making open-vocabulary object detection more reliable in dynamic real-world environments
Soichiro Okazaki Research & Development Group Hitachi, Ltd. Why detection confidence matters in real-world AI What happens when an AI system correctly detects an object but assigns it a confidence score too low to trust—or incorrectly gives a high score to a false detection? In industrial environ...
hitachi-rd-en @ hitachi-rd-en
 
From static pruning to dynamic pruning: Accelerating graph databases through a new approach that skips reading unnecessary segments
hitachi-rd-en @ hitachi-rd-en
 
Is micro domain-adaptive pre-training for LLMs effective in real-world operations? Insights from a multi-step evaluation
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Hitachi launches R&D on silicon quantum computers in collaboration with Intel K.K. and AIST to accelerate the shift from academic demonstration to industrial application
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Designing an AI-based system to support link workers, who connect people to community resources: Contributing to better health outcomes through social prescribing instead of relying solely on healthcare
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Global OT Cybersecurity in Energy Sector 2026: Advancing Cyber Resilience for Critical Infrastructure in the Era of AI
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Hitachi develops a method for automatically determining vulnerability response prioritization based on business impact
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Electronics

Riding the Tide Toward Open Ecosystem-Based Chiplet Integration―Hitachi’s Efforts to Overcome Industry-wide Challenges with Quality Improvement Technology
The semiconductor industry has been growing by adopting the concept of horizontal division of labor, which separates the manufacturing process into the front-end stage for manufacturing wafers and the back-end stage for dicing a wafer and mounting dies onto individual packages. However, a new tre...
（日立BS）仁地 和美<kazumi.ninchi.fg@hitachi.com> @ hitachi-rd-en
 
Developing a radial-gap amorphous motor that achieves both high-speed rotation and high efficiency: Planning to apply this technology to air compressors in the near future
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Hitachi launches R&D on silicon quantum computers in collaboration with Intel K.K. and AIST to accelerate the shift from academic demonstration to industrial application
hitachi-rd-en @ hitachi-rd-en
 
Global OT Cybersecurity in Energy Sector 2026: Advancing Cyber Resilience for Critical Infrastructure in the Era of AI
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“Magnetic Refrigeration” to Realize Efficient Cooling without Using Refrigerant Gases
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Hitachi develops edge AI semiconductor as a core technology for physical AI to support HMAX Industry
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Hitachi to participate in Phase 2 research projects of JST Moonshot Research & Development Program Goal 6: “Realization of a fault-tolerant universal quantum computer that will revolutionize economy, industry, and security by 2050”
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Control systems & Mechatronics

Effectiveness of Railway Driver Advisory System (DAS) Achieving Both Energy Efficiency and Punctual Operations
Railway-related technology focuses on the three pillars to achieve safety and comfort—development of rolling stock, development and maintenance of tracks and other infrastructure, and development of traffic management systems. Japan’s railway-related technology, as is widely known, supports the w...
hitachi-rd-en @ hitachi-rd-en
 
Hitachi takes on the challenge of insulated piping technology for high-voltage hydrogen production systems
hitachi-rd-en @ hitachi-rd-en
 
Industry-Government-Academia Collaboration Toward the Real-World Deployment of Autonomous Driving with a Focus on Infrastructure Development
hitachi-rd-en @ hitachi-rd-en
 
Developing a radial-gap amorphous motor that achieves both high-speed rotation and high efficiency: Planning to apply this technology to air compressors in the near future
hitachi-rd-en @ hitachi-rd-en
 
Hitachi to establish “Chōwa-no-Oka,” a next-generation social infrastructure R&D hub in Hitachi City, strengthening research toward a harmonized society
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Hitachi develops operation control system for autonomous vehicles and confirms effectiveness through real-world demonstration
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Hitachi develops Physical AI technology that learns and optimizes its own motion behavior on-site to automate complex tasks
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