“TabGLM: Tabular Graph Language Model for Learning Transferable Representations through Multi-Modal Consistency Minimization” accepted at AAAI 2025

Introduction

Hello! I am Maria Xenochristou, a Senior Researcher at the Artificial Intelligence Laboratory of Fujitsu Research of America. I study deep learning architectures for tabular data, as well as table retrieval and QA.

Recently, our research paper "TabGLM: Tabular Graph Language Model for Learning Transferable Representations through Multi-Modal Consistency Minimization" was accepted at AAAI 2025, one of the top conferences in AI.

SC24 Report - Showcasing technologies for more convenient and efficient use of supercomputers

Introduction

Hello, I'm Hiroki Ohtsuji from the Computing Laboratory at Fujitsu Research. Today, I would like to share my report on attending the ACM/IEEE SC24 (officially known as The International Conference for High Performance Computing, Networking, Storage, and Analysis) held in Atlanta, Georgia. This conference is the world's largest international conference on supercomputing, where we showcased and presented technologies such as the AI Computing Broker (blog post, video, PDF) and Interactive HPC (video, PDF).

Multi-AI agent security technology to protect against vulnerabilities and new threats

Hello, we are Andrés and Roman from Data & Security Research Laboratory. We believe that Generative AI can be a positive tool to enhance the cyber security readiness of organizations across the world, but also that these tools need to be protected from misuse and attacks. For these reasons, our teams have been working at the development of two complementary technologies, and we would like to introduce them in this post.

Update History
・16/12/2024 Add a video explaining multi-AI agent security technology and a link to Fujitsu Research Portal in Related Links

The AI Tool for Experiencing Customer Aggression: Supporting the Acquisition of Appropriate Response Skills through the Integration of AI and Social Psychology

Hello, this is Yoshioka from Converging Technologies Laboratory of Fujitsu. We conduct research and development by integrating Fujitsu's AI technology and behavioral science, psychology, and more. Today, we are pleased to introduce our newly launched the AI Tool for Experiencing Customer Aggression, which supports the acquisition of response skills to customer harassment through interactions with AI avatar.

Demonstration of Ocean Digital Twin Technology at Nationally Certified Sustainably Managed Natural Site in Ishigaki Island

Hello, this is Iida from the Converging Technologies Laboratory at Fujitsu. Our research group is developing Ocean Digital Twin technology to fully digitize the ocean. As part of this, we conducted a demonstration in the Nosoko area of Ishigaki Island, the first site in Okinawa Prefecture to be recognized as Nationally Certified Sustainably Managed Natural Site. Let me share the details of this project.

An Introduction of technologies to enhance spatial understanding abilities to realize "Field Work Support Agents"

Hello. We are Hirai, Moteki, and Masui from Artificial Intelligence Laboratory.

In October 2024, Fujitsu began offering "Fujitsu Kozuchi AI Agent", which enables AI to collaborate with humans to autonomously perform advanced tasks. An AI agent is an evolving form of generative AI that can analyze what individual tasks are needed for a given goal, plans the entire processing flow, and autonomously achieves the goal by utilizing available resources. So far, various AI agents have been proposed and announced, but what we are targeting is not only conventional office work, but also field work such as manufacturing, logistics, public and road management, and construction. At work sites, it is becoming difficult to secure the high level of proficiency and man-hours of workers due to the aging of the population and the shortage of human resources. This has led to increased burdens on field managers and workers for safety management and training, creating a social problem.

Fujitsu's most advanced technologies are summarized and published! Fujitsu Technology Strategy Briefing

Hello. This is Teranishi from the Research transformation Office. At the Fujitsu Technology Strategy Briefing held on December 12, 2024, we unveiled AI Agent and other cutting-edge technologies. Here are the in-depth articles on Fujitsu's most recommended technology.
【12/26 17:30 - Added videos of Quantum Computing】
【12/20 21:30 - Added videos of AI computing broker and AI Tool for Experiencing Customer Aggression】
【12/19 15:00 - Replaced the AI Agent video and added the ocean digital twin video】
【12/16 18:30 - Added link to Fujitsu Research Portal and Presentation at a press conference】
【12/16 18:30 - The developers themselves introduce the technology! I added 3 videos of explanation and demonstration】

Built an AMD GPU Cluster for Large-Scale AI and LLM Research and Development

Introduction

I'm Hiroki Ohtsuji, working on parallel computing infrastructure technology at Fujitsu Research. Today, I'd like to introduce our GPU cluster "Ashitaka," designed for AI and LLM research and development.

The evolution of AI technology is rapid, and securing computational resources is crucial in the competitive landscape of research and development. GPUs (Graphics Processing Units) are indispensable for training and inference of AI models. While NVIDIA GPUs are well-known and widely used in AI research and development at Fujitsu, we have also built a cluster utilizing AMD GPUs. In this post, I will discuss why we chose AMD GPUs for AI research and development and the technical efforts behind this decision.

Fujitsu Kozuchi AI Agent at Microsoft Ignite 2024 (EN)

Hello, this is Hiro Kobashi and Kosaku Kimura from the Artificial Intelligence Laboratory.

From November 19 to 22, at Microsoft Ignite 2024 held in Chicago, we presented a collaborative demonstration of MS’s AI orchestration tool, Semantic Kernel, and the Fujitsu Kozuchi AI Agent, much like what we did at the previous Microsoft Build 2024. We’d like to introduce it to you here.

Introducing Keyword Mask for Secure RAG

I am Satoru Koda at Data&Security Laboratory. This article explains the "Keyword Mask for Secure RAG" technology. A trial version of this technology is available at Fujitsu Kozuchi Conversational Generative AI Engine. We encourage you to try it out and provide us with your feedback!

Introducing Fujitsu KG Enhanced RAG (5 sessions) #4 Fujitsu KG Enhanced RAG for VA (Vision Analytics)

Hello. This is Ikai from the Artificial Intelligence Laboratory.

To promote the use of generative AI at enterprises, Fujitsu has developed an "Enterprise-wide Generative AI Framework Technology" 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 regulations. The framework was successively launched in July 2024 as part of Fujitsu Kozuchi (R&D)'s AI service lineup.

1st place in the Optimized Road Damage Detection Challenge (ORDDC'2024, IEEE BigData Cup)

Hello, I am Fangjun Wang, from Fujitsu Research & Development Center Co., Ltd., Shanghai Laboratory. Recently, we participated in the Optimized Road Damage Detection Challenge (ORDDC'2024), and we won the first place on the phase one and phase two leaderboard. In this blog, I will introduce the challenge information and our solution.

Introducing Fujitsu KG Enhanced RAG (5 sessions) #3 Fujitsu KG Enhanced RAG for SE (Software Engineering)

Hello. This is Yuji Mizobuchi from the Artificial Intelligence Laboratory.

To promote the use of generative AI at enterprises, Fujitsu has developed an "Enterprise-wide Generative AI Framework Technology" 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 regulations. The framework was successively launched in July 2024 as part of Fujitsu Kozuchi (R&D)'s AI service lineup.

How We Ported oneDAL on Arm for Accelerated AI Workloads for FUJITSU-MONAKA

Introduction

Open-source ecosystem plays a critical role in the rapid advancement and widespread implementation of new digital technologies. By porting Intel's oneAPI Data Analytics Library (oneDAL) to Arm-based architectures and leveraging Arm's Scalable Vector Extension (SVE), Fujitsu demonstrates how open-source contributions can drive significant performance improvements and energy efficiency in AI workloads.