… 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, …

…l Agentic AI competition, the AgentX AgentBeats Competition, and won 2nd place. This post introduces our work for the competition. Competition Results. Our team name is 'fieldworkarena'. What Is the AgentX AgentBeats Competition? The AgentX…

…ing Graph AI more transparent, trustworthy, and actionable. As explored in previous blog Scaling Graph AI to Billion-sized Graphs, graph structures have firmly established themselves as the backbone of modern digital infrastructure. Whether…

…ale Graph AI. Nowadays, graph is ubiquitous. It forms the backbone of many real-world systems we interact with every day. Social media platforms connect billions of users through friendship networks. E commerce platforms represent users, pr…

…g-edge domains such as AI, HPC, and cloud. In addition, in June 2025 we launched development of FugakuNEXT, the successor system to Fugaku. This project is currently being carried out jointly with RIKEN and NVIDIA. To share these initiative…

…rting the AI Era From among the exhibits at the Fujitsu booth at SC25, we would like to introduce the GPU utilization improvement technologies presented by Fujitsu Research's Computing Laboratory. Are You Getting the Most Out of Your Expens…

…lligence (AI) software ecosystem for Arm CPUs. A significant part of our focus is geared towards maximizing performance for FUJITSU-MONAKA, a collaborative effort with our esteemed colleagues at Fujitsu Limited Japan. Our expertise spans a …

…d, and obtaining results takes time. Discussions at the workshop included topics like how to schedule QPUs alongside other computational resources. About Quantum Computers The highlight of the demo was undoubtedly the actual half-scale mock…

…'s Causal AI knowledge-guided causal discovery technology and its application examples. Fujitsu Causal AI was created to solve the following challenges that conventional action recommendation technologies faced: Difficulty in considering ne…

…itors. Details about Fujitsu's exhibition will be covered in separate articles. This time, my primary objective for attending was to explore the latest trends in HPC. As I attended from Toronto, Canada, where I am currently stationed, the t…

…ding a detailed introduction on the Fujitsu Tech Blog. The technology introduced here was jointly announced in a press release with Waseda University and Shibaura Institute of Technology on August 25, 2025 [1], and its details can also be f…

…his is Sakai from Artificial Intelligence Laboratory of Fujitsu Research. In this blog, I’ll introduce 1-bit quantization in an easy-to-understand way. The background of this technology lies in the growing size of generative AI models and t…

…opment of AI technology has been remarkable. A future where AI agents from multiple companies and organizations collaborate and co-create to solve more complex and diverse challenges is becoming increasingly realistic. As knowledge essentia…

…he three main processes that Policy Twin possesses. First, existing policies of various countries and municipalities are digitized. By combining these digitized existing policies, new policy candidates that no one had ever thought of are au…

…enerative AI technology presents significant potential while also raising urgent challenges such as content authenticity, AI system security, ethical use, and governance. These challenges span a wide range—from the spread of deepfakes and m…

…enerative AIs, creation of high-fidelity digital fakes has become easier than ever before. Rapid proliferation of such harmful content on the internet has brought with it serious societal risks such as financial frauds, election manipulatio…

… with the aim of solving customer challenges related to materials technology. In this Materials Informatics special feature, we introduce a case study where we utilized the knowledge distillation function integrated into GeNNIP4MD [1], a to…

…into our daily lives, from smartphone location services to weather forecasts. However, many challenges remain in leveraging satellite data. For instance, obtaining data for specific locations at specific times can be difficult, the time fro…