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Bringing semiconductor circuit research to life in the era of physical AI: Hitachi’s edge AI semiconductor makes worksites more intelligent
As generative artificial intelligence (AI) continues to expand, the semiconductors that power AI processing are drawing more and more attention. The graphics processing unit (GPU), a high-speed semiconductor chip designed primarily for processing images and video, is a leading example of a genera...
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Development of "Opportunity Seeking Technology" to support discovery of new business opportunities by capturing market changes
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The Changing Roles of People, AI, and Control Technology as We Enter the Age of Physical AI
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Three Innovations Shaping the Future of Industry
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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
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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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AI & Data science

Bringing semiconductor circuit research to life in the era of physical AI: Hitachi’s edge AI semiconductor makes worksites more intelligent
As generative artificial intelligence (AI) continues to expand, the semiconductors that power AI processing are drawing more and more attention. The graphics processing unit (GPU), a high-speed semiconductor chip designed primarily for processing images and video, is a leading example of a genera...
hitachi-rd-en @ hitachi-rd-en
 
Development of "Opportunity Seeking Technology" to support discovery of new business opportunities by capturing market changes
hitachi-rd-en @ hitachi-rd-en
 
The Changing Roles of People, AI, and Control Technology as We Enter the Age of Physical AI
hitachi-rd-en @ hitachi-rd-en
 
DetRefiner: Making open-vocabulary object detection more reliable in dynamic real-world environments
hitachi-rd-en @ hitachi-rd-en
 
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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Digital service platforms

Development of "Opportunity Seeking Technology" to support discovery of new business opportunities by capturing market changes
Analyzing climate change regulations and facility data via AI agents to extract target prospects for green transformation Hitachi has developed "Opportunity Seeking Technology", designed to support the identification of target prospects and the discovery of new business opportunities by accuratel...
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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 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
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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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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...
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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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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

Bringing semiconductor circuit research to life in the era of physical AI: Hitachi’s edge AI semiconductor makes worksites more intelligent
As generative artificial intelligence (AI) continues to expand, the semiconductors that power AI processing are drawing more and more attention. The graphics processing unit (GPU), a high-speed semiconductor chip designed primarily for processing images and video, is a leading example of a genera...
hitachi-rd-en @ hitachi-rd-en
 
Riding the Tide Toward Open Ecosystem-Based Chiplet Integration―Hitachi’s Efforts to Overcome Industry-wide Challenges with Quality Improvement Technology
（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
hitachi-rd-en @ hitachi-rd-en
 
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
hitachi-rd-en @ hitachi-rd-en
 
“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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Control systems & Mechatronics

The Changing Roles of People, AI, and Control Technology as We Enter the Age of Physical AI
At industrial sites facing various challenges such as labor shortages and the difficulty of passing down expertise, the use of machines and digital technology has become unavoidable. Hitachi's Research & Development Group is conducting research and development on control technology for the equipm...
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Effectiveness of Railway Driver Advisory System (DAS) Achieving Both Energy Efficiency and Punctual Operations
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Hitachi takes on the challenge of insulated piping technology for high-voltage hydrogen production systems
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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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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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