AAAI-26 Participation and Exhibition #1: Workshop on AI Agent Benchmarks Held

Hello, we are Moteki, Takahashi, and Uchida from Fujitsu Research's Artificial Intelligence Laboratory. Fujitsu participated in the prestigious international 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 AAAI-26.

This article briefly introduces our workshop hosting experience. Future articles will cover our paper presentations according to the following schedule:

• Part 1: AAAI-26 Participation and Exhibition #1
  • Report on Hosting the Workshop (This Article)
• Part 2: AAAI-26 Participation and Exhibition #2
  • Report on the Paper Presentation on Causal AI Technology (Scheduled for March 12)
• Part 3: AAAI-26 Participation and Exhibition #3
  • Report on the Paper Presentation on AI Reasoning (Scheduled for March 16)

Cryo-CMOS for Diamond Spins Advances Further! Successful Multi-Qubit Driving of NV Module

I am Kenichi Kawaguchi, Project Director of the Modular Quantum Computing Project. In this article, I 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 presented at ISSCC in February 2026, the highest-level international conference in the circuit field, and a press release has been issued on QuTech's official website (2).

Uncovering the Hidden Mechanisms: Challenging Large-Scale Network Interpretation

Hello, this is Koji Maruhashi from the Artificial Intelligence Laboratory. This article is the third in 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, we will introduce our efforts on a further challenge: "uncovering the underlying phenomena of large-scale graphs."

Our Agent Evaluation System Won 2nd Place in an International Agentic AI Competition!

Introduction

Hello, we are Jun Takahashi and Takuto Sato from the Artificial Intelligence Laboratory at Fujitsu. We participated in the international Agentic AI competition, the AgentX AgentBeats Competition, and won 2nd place. This post introduces our work for the competition.

Lifting the veil on Graph AI: From black box explainability to self-interpretable models

Hello, we are Vempalli Saketh, Siddartha Reddy Thummaluru, Harsh Pandey and Mahesh Chandran from the Artificial Intelligence Research Laboratory at Fujitsu Research of India (FRIPL). We are excited to share our latest research focused on making Graph AI more transparent, trustworthy, and actionable.

Scaling Graph AI to Billion-sized Graphs

Hello. We are Mohit Meena, Yash Punjabi, and Mahesh Chandran from the Artificial Intelligence Research Laboratory at Fujitsu Research of India (FRIPL). We are excited to share our latest research focused on addressing scalability challenges in large-scale Graph AI.

SC25 Participation & Exhibition #4: FUJITSU-MONAKA & FugakuNEXT

Hello everyone. We are Yuya Edazawa, Yuma Muto, and Takuya Okamoto from Fujitsu’s Advanced Technology Development Division. We are working on the development of FUJITSU-MONAKA[^1] series, including the next-generation Arm processor FUJITSU-MONAKA, which will be the foundation of the future of cutting-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 initiatives and their latest progress with the global community, we participated on-site in SC25, the International Conference for High Performance Computing, Networking, Storage and Analysis (hereafter, SC25 | https://sc25.supercomputing.org/), held in St. Louis, USA from November 16 to 21, 2025.

In this article, we report on the exhibit content related to FUJITSU-MONAKA and FugakuNEXT, as well as the latest trends we observed through attending technical sessions and visiting other exhibitors’ booths.

SC25 Participation & Exhibition #3: Fujitsu's AI-Era Middleware and HPC Industry Insights

Hello, this is Hiraga, Kinoshita, and Ohtsuji from the Computing Laboratory at Fujitsu Research.

This article is the third installment of our four-part series reporting on SC25, the international conference held in St. Louis, USA in November 2025. We will introduce what the Computing Laboratory presented at the Fujitsu booth, along with trends in supercomputer performance rankings (Top500, Green500, IO500), and highlights from other events at the conference.

FUJITSU-MONAKA team's presence in PyTorch Conference 2025

Namaskara! We are members of the FUJITSU-MONAKA Software R&D team at Fujitsu Research of India Pvt Ltd (FRIPL). Our unit is dedicated to advancing and optimizing the High-Performance Computing (HPC) and Artificial Intelligence (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 comprehensive range of software verticals, including databases, machine learning frameworks, deep learning and Generative AI frameworks, as well as confidential computing.

SC25 Participation & Exhibition #2: Quantum computing & its application

Hello, I'm Takita from the Quantum Research Institute. Since joining the company, I have engaged in research and development across various fields, starting with optical communication systems and networks, then moving on to general networking, edge computing, and optimization (quantum-inspired optimization). Starting in fiscal year 2024, I became involved with quantum computing and am currently working on creating applications for it.

Introducing "Fujitsu Causal AI" (Total of 3 Parts) #2 Knowledge-Guided Causal Discovery

Hello. We are Fujii and Yanashima from the Artificial Intelligence Research Laboratory.

In this article, we will introduce Fujitsu's Causal AI knowledge-guided causal discovery technology and its application examples.

SC25 Participation & Exhibition #1: Exploring the Latest Trends in HPC

Please note that this blog post has been translated using machine translation.

Introduction

Hello, I'm Ichiba from Fujitsu Research, Computing Laboratory. I participated in the international conference SC25, held in St. Louis, USA, from November 16 to 21, 2025. In this article, I will share my report on the conference. Various departments within Fujitsu plan to publish a four-part series of reports on SC25. This article will primarily focus on the paper presentations that I found particularly noteworthy. At SC, various organizations, including companies, universities, and research institutions, hold exhibitions, and Fujitsu is also one of the exhibitors. Details about Fujitsu's exhibition will be covered in separate articles.

Motion Control of Robots Using Quantum-Classical Hybrid Technology

[machine translation]

Hello everyone. I'm Kimura from the Quantum Applications CPJ team at the Quantum Research Institute. I recently presented our latest research findings at FTU 2025, held at Fujitsu Technology Park on December 2, 2025. To share this presentation with a wider audience, I am now providing a detailed introduction on the Fujitsu Tech Blog.

One Bit Quantization Technology

Expanding the Potential of LLMs with 1-Bit Quantization: The Cutting Edge of Speed and Memory Efficiency

Hello, this 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 the accompanying challenges in computational resources. Our AI research team has developed a groundbreaking solution—1-bit quantization—and even released it as open-source software (OSS). This article explains the background and the technology in simple terms.