Fujitsu Technology Update
December 2, 2025
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Update History
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Hybrid Quantum-Classical Technology for Practical Quantum ApplicationWe continue to apply quantum technology to real-world problems. We'll introduce our quantum-classical hybrid approaches for catalyst discovery and robot motion control. -
Materials Simulation Technology with HPC & AIWe successfully analyzed the atomic-level structure of the all-solid-state battery SEI layer. Our AI-driven MD simulation accurately reproduced behaviors of over 120,000 atoms at high speed. -
Takane Enterprise LLM with Generative AI ReconstructionQuantization reduces Takane's memory consumption by up to 94% with 89% accuracy rate, and specialized AI distillation extracts only the knowledge for specific use cases. -
Digital Anti-Fake TechnologyAI-powered scams are now a real threat. Fujitsu's unique technology detects everything at once, from fake faces and images to forged documents. -
Nature-positive through Ocean Digital Twin technologiesUsing ocean digital twin technologies, we realize a nature-positive future through an efficient cycle from planning marine environmental countermeasures to verifying their impact. -
Spatial World ModelBy imagining future states within a space, we detect potential dangers ahead of time and proactively avoid them, realizing a space where humans and robots coexist. -
Utilizing Satellite Data via Space Data On-Demand TechnologiesSpace Data On-Demand is a technology integrating satellite and ground data using computing and AI to generate high-value insights for optimizing global business efficiency. -
Resilient SCM via Inter-Enterprise Multi-AI Agent CollaborationBy utilizing multi-AI agent collaboration technology, AI agents from multiple different companies within the supply chain can securely cooperate with limited information. -
Policy TwinPolicy Twin automates effective, city-specific policy creation for various challenges. It reduces planning time and costs, and tackles national issues like healthcare costs. -
Visualization to Causal DiscoveryRapidly calculates causal relationships from vast datasets, discovering individually useful causal relationships that are typically overlooked. -
Automated Network Incident Management with AI Agents and KnowledgeTransform unstructured data into AI-ready knowledge using LLM. Combined with Dynamic extracted knowledge graph technology, this enables AI to address even unforeseen failures. -
Founding of "Frontria," an International ConsortiumIntroducing "Frontria," an international consortium dedicated to tackling misinformation, disinformation, and security risks arising from AI.
