…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, …

… Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't There: Introducing a Benchmark for Diagnosing Hallucinations in Multimodal Large Language Models (MLLMs) (Published) Part 2: AAAI…

…enerative AI at enterprises, Fujitsu has developed a generative AI framework for enterprises that can flexibly respond to diverse and changing corporate needs and easily comply with the vast amount of data held by a company and laws and reg…

…ogy by obtaining certification under J‑Blue Credit, Japan’s domestic blue carbon credit scheme, for seaweed beds consisting of a single seaweed species. (Reference: Uwaijima Initiative! Collaborative Blue Carbon Project for Eelgrass Restora…

…enerative AI research group of Fujitsu Research & Development Center (FRDC) in China. Today, we would like to introduce our developed technologies about hallucination mitigation for Multimodal Large Language Models (MLLMs). The related thre…

…rnational AI conference "The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)" held in Singapore from January 20 to 27, 2026, presenting multiple papers and hosting a workshop. We will now deliver a series of articles about …

… Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't There: Introducing a Benchmark for Diagnosing Hallucinations in Multimodal Large Language Models (MLLMs) (Published)🔗 Part 2: AAA…

…rnational AI conference "The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)" held in Singapore from January 20 to 27, 2026, presenting multiple papers and hosting a workshop. We will now deliver a series of articles about …

… Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't There: Introducing a Benchmark for Diagnosing Hallucinations in Multimodal Large Language Models (MLLMs) (This Article) Part 2: F…

… from the AI Laboratory in FRJ. We are excited to share our latest research focused on constructing task-specific hybrid models. Transformers are powerful—but their attention mechanism scales quadratically with sequence length. That makes t…

… from the AI Laboratory in FRJ. We are excited to share our latest research focused on domain-specific Large Language Models (LLM) distillation. Overview Although transformer-based LLMs have achieved strong performance across various tasks,…

…rnational AI conference "The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)" held in Singapore from January 20 to 27, 2026, presenting multiple papers and hosting a workshop. We will now deliver a series of articles about …

… will explain in detail the world's first multi-qubit operation of an NV module using Cryo-CMOS, achieved through a collaborative research effort between Fujitsu, Delft University of Technology, and QuTech (1). This achievement was presente…

… the GraphAI series. In the first post, we introduced methods for learning large-scale graphs with billions of nodes. In the second post, we explained how to make inherently black-box GraphAI explainable and interpretable. In this article, …