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Entries in AI category - fltech - Technology Blog of Fujitsu Research

fltech - Technology Blog of Fujitsu Research

A technology blog where Fujitsu researchers talk about a variety of topics

AI

Introducing Fujitsu KG Enhanced RAG #5 Fujitsu KG Enhanced RAG for LA (Log Analysis)

Hello. I'm Supriya from Fujitsu Research of India, and I'm Oura 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 flexi…

Hybrid Graphs for Table-and-Text based Question Answering using LLMs - accepted at NAACL 2025

Introduction Hello! I am Ankush Agarwal, a Researcher at the Artificial Intelligence Laboratory of Fujitsu Research India. My research focuses on knowledge graphs and deep learning, particularly their applications in the enterprise domain.

Enhancing AI Agent Spatial Reasoning for Real-World Applications

AI

Introduction Hello, we are Fan Yang from Fujitsu Research and Quanting Xie from Carnegie Mellon University. Our institutions have a longstanding partnership focused on pioneering AI technologies to tackle real-world challenges. We are exci…

Next Generation of Music Production Powered by Fujitsu’s Music-Generative AI

Introduction Hello, I am Hong Gao from Computing Laboratory. Fujitsu Research collaborated with Amadeus Code Inc., led by the renowned Japanese music producer Jun Inoue, to develop a generative AI-based music creators support tool. This bl…

DeepSeek Security Evaluation - Part 2: New security aspects of DeepSeek model with KG-RAG Attack and Hypergraph Defense Technologies

Hello, I am Manohar Kaul from AI Security Lab of FRIPL, in India, at Data & Security Research Laboratory. Today, we are publishing Part 2 of the DeepSeek Security Evaluation, delving into new security aspects of DeepSeek using additional i…

DeepSeek Security Evaluation - Part 1: A Comprehensive Assessment of Security Risks Using Fujitsu’s LLM Vulnerability Scanner

Hello, I am Roman from Generative AI Trust Research team at Data & Security Research Laboratory. Today, we are publishing Part 1 of the DeepSeek Security Evaluation, providing a comprehensive assessment of security risks using Fujitsu’s LL…

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

AI

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, o…

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 Computin…

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 …

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

AI

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 a…

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 te…

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…

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 t…

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 cha…

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

AI

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 p…

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 diver…

Introducing Fujitsu KG Enhanced RAG (5 sessions) #2 Fujitsu KG Enhanced RAG for Q&A (Question&Answer)

Hello. This is Narita , Fukui, and Peng from the Artificial Intelligence Laboratory. To promote the use of generative AI at enterprises, Fujitsu has developed an "Enterprise-wide Generateve AI Framework Technology" that can flexibly respon…

Introducing Fujitsu KG Enhanced RAG (5 sessions) #1 Fujitsu KG Enhanced RAG for RCA (Root Cause Analysis)

Hello. I'm Kikuzuki 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 diverse and changing corporat…

"LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-Gaussian Structural Equation Model" presented at ECML-PKDD 2024

AI

Introduction Hello! I'm Suzuki from Artificial Intelligence Laboratory. We are conducting R&D on "Decision Making via Causal Discovery" and working on real-world decision-making tasks such as improving employee productivity based on engage…

Fujitsu Research of Europe team present new technology for data-efficient adaptation to new environments at ICLR 2024

Hello! I am Abhra Chaudhuri, a Senior Researcher in the Computing Research Group at Fujitsu Research of Europe. I study the behaviour of deep neural networks under various kinds of distribution shifts.

"Learning Decision Trees and Forests with Algorithmic Recourse" presented on ICML 2024

AI

Introduction Hi! This is Kentaro Kanamori from Artificial Intelligence Laboratory. We are conducting research and development on "XAI-based Decision-Making Assistant" and trying to apply our technologies to real decision-making tasks (e.g.…

1st place in the 3D Human Pose Estimation on H3WB

AI

Hello, I am Xiantan Zhu, a researcher from FUJITSU RESEARCH & DEVELOPMENT CENTER (FRDC). Recently, we got the top-1 place on H3WB (Human3.6M 3D WholeBody, https://paperswithcode.com/sota/3d-human-pose-estimation-on-h3wb). Our result is far…

"Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives" presented at ICLR 2024

AI

Overview Hi! I am Sho Takemori from AI Innovation Core Project, Artificial Intelligence Laboratory. Recently, in our joint research with the Indian Institute of Science (IISc), we have developed an AI technology termed SelMix that enables …

Revolutionizing Cancer Genomics: The Power of XAI and Knowledge Graphs

AI

Hello, I'm Katsuhiko Murakami from the Genome AI Team at the Computing Laboratory. We've developed the world's first Explainable AI (XAI) for fusion genes, integrating XAI with knowledge graphs. Our research has been published in the cance…

Democratizing the use of AI with FUJITSU-MONAKA

Introduction The growth of artificial intelligence (AI) is mainly driven by three factors – Algorithmic Innovation, Data & Compute. AI development is at an inflection point, as researchers developed larger models and larger data sets, the …

1st place in the WeatherProof Challenge (CVPR 2024 UG2+)

AI

Hello, I am Nan Zhang, from Fujitsu Research & Development Center Co, Ltd. Recently, we participated in WeatherProof challenge (CVPR 2024 UG2+ Track 3). And we won the first place on the final leaderboard. In this blog, I will introduce th…

Introducing Traffic Image Surveillance

Hello, I'm Zhang Nan, from Fujitsu Research & Development Center Co, Ltd. Today, I would like to introduce an exciting new AI core engine –Traffic Image Surveillance –that is now available from Fujitsu Kozuchi.

Introducing Smart Enterprise Data Assistant

Hello, I'm Zhongguang Zheng from our Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine, - Smart Enterprise Data Assistant – which is now available from Fujitsu Kozuchi.

Security Audit Automation: A new frontier in security with large language models

Hello, I am Tanaka from the Security AI Team at Fujitsu Research. We are pleased to announce that we have made our security audit automation technology available to the public on the Fujitsu Research Portal, where you can try out technolog…

Introducing Composite AI – Generate optimization AI automatically –

Hello, I'm Hiroaki Iwashita from our Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine – Composite AI – which is now available from Fujitsu Kozuchi.