… Physical AI Lab. I attended the IEEE 104th Vehicular Technology Conference online and was honored to give an oral presentation of our paper, Cross-Modal Fusion of Radar and Infrared Sensor for Robust Multi-Object Tracking. In this article,…

…u’s Graph AI framework for transforming complex multimodal data into reusable graph workflows through a shared GraphIR representation. GNext connects graph construction, learning, explainability, analytics, agentic workflows and provenance …

…ftware Repair in the Industry Showcase. This post is a report from that week: why ASE matters, what the program felt like, what we showed, the questions that followed, and a few hours walking the city after the sessions. Presenting Kozuchi …

…sovereign AI infrastructure Quantum Category: We issued as many as three press releases in the eight days from early to mid-September!It's quite rare for a single research laboratory to put out press announcements at this pace!! The content…

…ational AAAI Conference on Web and Social Media (ICWSM 2026), held in Los Angeles, USA, and presented our research at the co-located workshop, the 2nd Workshop on Misinformation Detection in the Era of LLMs (MisD 2026). In this article, I w…

We are AI security researchers at Fujitsu Research of Europe. Together with Pillar Security, we investigated a new attack surface in an emerging component of open-weight language models: gated parametric memory. Consider an organization dow…

…, and explain how our HBA-MOT framework improves identity consistency in crowded pedestrian tracking. About IJCB 2026 The International Joint Conference on Biometrics is a major international forum for research in biometrics and related tec…

…e of the main challenges for current technology is the size of systems that can be calculated. In a quantum computer, qubits are used to represent electrons and vacancies. More specifically, molecular orbitals are mapped onto qubits, using …

…held in Odaiba, Tokyo, where I presented our research on AI-based seaweed recognition, "Sparse Point-Guided Fusion of Supervised and Self-Supervised Learning Model for Seaweed Segmentation." In this article, I will share highlights from OMA…

…izu no Butai) shown in the photo below, aptly describing its architectural form. The Kiyomizu-dera stage also has gaps in its intricate wooden framework. MOFs have essentially this concept at a molecular level. This means these molecular-si…

… Physical AI Research Laboratory. In August, our team participated in the 2nd World Humanoid Robot Games (WHRG 2026). In this blog, we will share the key technologies behind our system and lessons learned along the way. For the Physical AI …

…Nazanin Chaichitehrani, and Anthony Wong from the Space Data Frontier Research Center (SDF-RC) at Fujitsu Research of America (FRA), Santa Clara, California, USA. We are excited to share our research on PIE-X (short for Physics-Informed AI …

…Noguchi, Taiga Shibata, and Ryo Taketani from the Advanced Computing Development Unit of Fujitsu. We are developing the FUJITSU-MONAKA series, including FUJITSU-MONAKA, a next-generation Arm-based processor, which is designed to support cut…

…ging to Brain Intelligence Group of Physical AI Lab.. I attended the 28th International Conference on Pattern Recognition (ICPR 2026) in Lyon, France, from August 17 to 22, 2026. At the conference, I was honored to give an oral presentation…

…(SnV)-containing diamond nanobeams with Al₂O₃ waveguides, enabling efficient optical coupling from diamond emitters to an on-chip optical routing layer. In the following sections, I will discuss the device concept, key fabrication technolog…

… on the training and design of Variational Quantum Algorithms (VQA) and quantum neural networks (QNN) for applications, such as optimization tasks in finance. Recently, our paper on designing a warm starting protocol for the Quantum Alterna…

… Physical AI Research Laboratory. From August 17 to 22, 2026, I attended the 28th International Conference on Pattern Recognition (ICPR 2026) in Lyon, France. At the conference, I presented FieldWorkArena: Agentic AI Benchmark for Real Fiel…

…, posts claiming that the company had concealed a serious problem begin spreading rapidly. Multiple accounts repeat the same claim. The company launches an investigation into a possible unauthorised intrusion. It isolates the systems that m…

…the Graph AI team from the AI Lab at Fujitsu Research of Europe. In many real-world AI projects, the most valuable information does not come in a single neat table or even a single source. It often comes from a variety of multimodal sources…

…: Agentic AI Benchmarks and Applications for Enterprise Tasks" at AAAI-26 (held in Singapore), a prestigious international conference in the field of AI, organized by CMU, Keio University, and Fujitsu. The event featured seven invited talks…

…o, we are AI Agent Security Research team at the Security Science Laboratory. In this article, we present the results of a security evaluation of the latest large language models — Fable 5, GPT-5.6, and Takane *1 — conducted using Fujitsu's…

…ses about AI research Winning the “Prime Minister’s Prize” at the “2026 National Commendation for Invention” for accelerating scientific computing contributing to the K computer and the supercomputer Fugaku Announced a joint research projec…

… will explain the latest results in diamond spin quantum technology achieved by a research team at Delft University of Technology and QuTech through a joint research project with Fujitsu [1]. This work was published in June 2026 in Physical…

…Q (Japan, AIST): AI Scientist Perspective JUNIQ: Integration Mode and the Captiva Appliance Workshop: Standardization of Quantum-Classical Integration (Friday June 26, afternoon) NVIDIA: CUDA-Q / NVQLink / Ising Full Stack Dell Technologies…

…lo, I am Naipunnya Raj from the Quantum team at Fujitsu Research India Private Limited (FRIPL). Quantum Autoencoders (QAE) are excellent at compressing quantum states, but what if we could also make them generate entirely new quantum states…

…tead of training every possible candidate architecture which can run into 100s of variants, our approach aims to identify promising models in advance using lightweight evaluation metrics. Introduction Quantum machine learning models offer e…

…ually contain highly similar regions, comparing them at the same positions makes many mismatches. Here's a visual example: Sequence 1: A T G C A A C T Sequence 2: T G C A A C T T Sequence 2 is very similar to Sequence 1, but its starting po…

…rently remains far in the future. To address this challenge, we have devised a groundbreaking approach. At Fujitsu Quantum*1, we have developed two core technologies: the “STAR Architecture ver. 3”, jointly developed by Fujitsu and The Univ…

… Akira Sakai, Yuma Ichikawa, Yang Zhao, Michiaki Takizawa, Taku Fukui, Hiroki Ohtsuji, and Hiro Kobashi — all at Fujitsu Research. We set out to improve SWE-bench Verified scores by modifying mini-swe-agent *3. SWE-bench Verified is a well-…

…enerative AI research group of Fujitsu Research & Development Center (FRDC) in China. Today, we would like to introduce our developed grounding technologies for Multimodal Large Language Models (MLLMs). Grounding for MLLMs In recent years, …