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Entries in AI category page 2 - 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 the Fujitsu AutoML for Vision

AI

Hello, I'm Hiroaki Yamane from the Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine – Fujitsu AutoML for Vision – which is now available from Fujitsu Kozuchi. This article is part of a ser…

Introducing Fujitsu Auto Data Wrangling

Hello, I'm Lei Liu from our Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine - Fujitsu Auto Data Wrangling – which is now available from Fujitsu Kozuchi.

Advance Notice for the second blog series about Fujitsu Kozuchi AI core engines

Hello. I am Fukuda from the Fujitsu AI laboratory. Fujitsu provides advanced AI technology through the Fujitsu Kozuchi, and we want to encourage people to try our AI technologies to prove their value and benefit their work. Based on users’…

Introducing the Adversarial Example Attack Detector

Hello, I'm Takanori Machida from our AI Trust Research Centre. Today, I would like to introduce an exciting new AI core engine – the Adversarial Example Attack Detector – which is now available from Fujitsu Kozuchi.

Introducing Camera Angle Change Detection

Hello, I'm Yoshie Kobayashi from our Artificial Intelligence Laboratory. Today, I would like to introduce an exciting new AI core engine - Camera Angle Change Detection – which is now available from Fujitsu Kozuchi . This blog is the fourt…

Introducing Multi-Camera Tracking

Hello, I'm Ito from our Data & Security Research Laboratory. Today, I would like to introduce an exciting new AI core engine - Multi-Camera Tracking – which is now available from Fujitsu Kozuchi (code name) - Fujitsu AI Platform.

Introducing The Fujitsu Neuro-Symbolic Explainer

Hello, I'm Dr. Joe Townsend from Fujitsu Research of Europe Ltd. Today, I would like to introduce an exciting new AI core engine – the Fujitsu Neuro-Symbolic Explainer – which is now available from Fujitsu Kozuchi (code name) - Fujitsu AI …

Introducing Synthetic Image Generation

Hello, I'm Chaoliang Zhong from Fujitsu R&D Center Co, Ltd. Today, I would like to introduce an exciting new AI core engine - Synthetic Image Generation – which is now available from Fujitsu Kozuchi (code name) - Fujitsu AI Platform .

Advance Notice for Blog Series about Fujitsu Kozuchi AI core engines

Hello. I am Fukuda from the Fujitsu AI laboratory. Fujitsu provides advanced AI technology through the Fujitsu Kozuchi (code name) - Fujitsu AI Platform. We hope that more people will try our technologies using Kozuchi to see how it can he…

1st place in the WACV Physical Retail AI Workshop challenge

AI

Hello, I am Jiaqi Ning, a researcher from the human reasoning group of FUJITSU RESEARCH & DEVELOPMENT CENTER (FRDC), China. Recently, my colleagues from FRDC, FRJ, FRA and I formed a team to participate in the WACV Physical Retail AI chall…

1st prize in the "Automated checkout" competition of 7th AI CITY CHALLENGE

AI

Hello, I am Ziqiang Shi from the team working on developing Self CheckOut Monitoring (SCOM) at FUJITSU RESEARCH & DEVELOPMENT CENTER in China. Recently, our SCOM technology won the 1st prize in the 7th AI CITY CHALLENGE (https://www.aicity…

“Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve” accepted at ICLR2023 as notable-top-5%

AI

Recently, in our joint research with the University of Toronto, we have developed an AI technology called Multi-Rate VAE (MR-VAE), enabling the acquisition of the full rate-distortion curve by only a single training run. We will present ou…

“Automated Data Augmentation for Graph Classification” presented on ICLR 2023

AI

We are conducting research about applying graph data augmentations to graph classification. Recently, we have completed a joint research project with Texas A&M University’s Data Integration, Visualization, and Exploration (DIVE) Laboratory…

"Cost-Sensitive Self-Training for Optimizing Non-Decomposable Metrics" presented on NeurIPS 2022

AI

Recently, in our joint research with the Indian Institute of Science, we have developed an AI technology called cost-sensitive self-training that can optimize practical real-world metrics which are complex and present it at NeurIPS 2022. I…

"Exploring the Whole Rashomon Set of Sparse Decision Trees" presented on NeurIPS 2022

AI

We are conducting research and development on "AI-based Knowledge Discovery". Recently, We have started a joint research project with [Duke University's Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/lab.html), and …

Our research result on systematic generalization presented at NeurIPS 2021

AI

Japanese version I'm Tomotake Sasaki, a senior researcher at Autonomous Learning Project in Fujitsu Research. Fujitsu Research aims to create “AI that can learn autonomously”, and has been running a joint research program towards this goal…

World's Largest Scale Deep Learning on Supercomputer Fugaku Achieved World's Highest Performance

Introduction Hello. We are the five MLPerf HPC members from the ICT Systems Laboratory of Fujitsu Limited. In November 2021, at the international Supercomputing Conference (SC'21), the new supercomputer Fugaku, jointly developed by RIKEN a…

Report on the Scikit-Learn Interpretability Workshop and Development Sprint

AI

Hello, Norbert Preining and Hiro Kobashi from Fujitsu Laboratories Ltd., Artificial Intelligence Laboratory here. From February 8th to 10th, the Scikit-learn Consortium-organized Workshop (on Interpretability) and DevSprint was held online…

A Deep Dive into a Deep Learning Library for the A64FX Fugaku CPU - The Development Story in the Developer's Own Words

Introduction Hello everyone. This is Kawakami from the Fujitsu Laboratories Platform Innovation project. The new Fugaku supercomputer has been delivered to Port Island located off the coast of Kobe. Developed jointly by RIKEN and Fujitsu, …