Using Qwen3.5-27B without any fine-tuning, we achieved 74.8% (374/500) on SWE-bench Verified — a benchmark that measures how well a model can fix real OSS issues from GitHub — by generating 8 candidate patches and selecting the best one. A…

Hello, we are Fei Li, Jiaqi Ning and Ming Yang, from Generative AI research group of Fujitsu Research & Development Center (FRDC) in China. Today, we would like to introduce our developed grounding technologies for Multimodal Large Languag…

This article marks the beginning of a TechBlog series entitled 'Fujitsu's Corporate Benchmarking Proposal: To Unlock the True Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't The…

Hello. We are Kikuzuki, Narita, Kikuchi, Miyahara from the Artificial Intelligence Laboratory. To promote the use of generative AI at enterprises, Fujitsu has developed a generative AI framework for enterprises that can flexibly respond to…

Hello, we are Fei Li, Ziqiang Shi and Jingyi Wang, from Generative AI research group of Fujitsu Research & Development Center (FRDC) in China. Today, we would like to introduce our developed technologies about hallucination mitigation for …

Hello, I'm Yamada 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…

This article marks the beginning of a TechBlog series entitled 'Fujitsu's Corporate Benchmarking Proposal: To Unlock the True Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't The…

Hello, we are Hirofumi Suzuki and Kentaro Kanamori from the Artificial Intelligence Laboratory. Fujitsu participated in the prestigious international AI conference "The 40th Annual AAAI Conference on Artificial Intelligence (AAAI-26)" held…

This article marks the beginning of a TechBlog series entitled 'Fujitsu's Corporate Benchmarking Proposal: To Unlock the True Value of AI Agent Models.' It covers three blogs to the following schedule: Part 1: When AI 'Sees' What Isn't The…

Hello. We are Xiaojie Xia, Chaoliang Zhong, and Jun Sun from Fujitsu Research and Development Center (FRDC) and Yusuke Oishi from the AI Laboratory in FRJ. We are excited to share our latest research focused on constructing task-specific h…

Hello. We are Cheng Feng, Chaoliang Zhong, and Jun Sun from Fujitsu Research and Development Center (FRDC) and Yusuke Oishi from the AI Laboratory in FRJ. We are excited to share our latest research focused on domain-specific Large Languag…

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-2…

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…

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 i…

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 m…

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 challenge…

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…

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 Novemb…

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) softwar…

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.

Hello, I’m Kazuki Osamura from the Spatial Robotics Research Center at Fujitsu Laboratories. We are developing a Spatial World Model, a core technology showcased at Fujitsu Technology Update（FTU2025）, enabling human–robot collaboration i…

Remark: This document was translated using generative AI technology. Hello, we are Asai, Akima, and Takemori from the Artificial Intelligence Laboratory. In this article, we introduce our work on collaboration technologies for multi-agent …

Hello! We are Matsumura, Nishiguchi, and Yamazaki from Fujitsu Research. In our project, we are engaged in research and development of Materials Informatics (MI) with the aim of solving customer challenges related to materials technology. …

Hello. We are Sonoda and Yoshii from Data & Security Research Lab. We are excited to introduce one of our latest research projects!

Introduction Hello, we are Sakamoto and Nitta from the Data & Security Research Lab. The current advancement of generative AI technology presents significant potential while also raising urgent challenges such as content authenticity, AI s…

Hello, we are Uno, Miyake, and Inderjeet from the Data & Security Research Laboratory. In recent years, the development of AI technology has been remarkable. A future where AI agents from multiple companies and organizations collaborate an…

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 a…

Hello! We are researchers from the Converging Technologies lab at Fujitsu Research. We are presenting a novel semi-automated solution to the problem of data conversion and integration into desired structures and formats. In data-driven sys…

Hello. We are Taro Togawa and Takao Nakagawa from Artificial Intelligence Laboratory in Fujitsu Research. To promote the use of generative AI at enterprises, Fujitsu has developed a generative AI framework for enterprises that can flexibly…

Hello. We are Takagi, Okajima, Koyanagi, and Ogawa from the Artificial Intelligence Research Laboratory. Fujitsu has developed "Fujitsu Causal AI" to support data-driven decision-making in enterprises. This technology analyzes causal relat…