Discovery for you
This site is intended to provide an experience of Wide Learning™, XAI (Explainable AI) developed by Fujitsu Research, and to make it widely adopted by many users.
We have prepared explanatory contents about Wide Learning™, and also the Trial Tool, so that a wide range of users from junior high school students to researchers can understand Wide Learning™ and use it.
Now you can start to use Wide Learning™!
Understanding Wide Learning™
Wide Learning™ Case Studies
Identifying
Mammals
For people aged 12 and over
Let's see if we can identify mammals
using information about animals.
Discovery of
Electoral Factors
For people aged 16 and over
What are
the features
of people
who win elections?
Analysis of
COVID-19 Policies
For people aged 16 and over
Let's try to discover effective ways to prevent the spread of infections.
Case 4
--
Coming
Soon...
Updates
January 28, 2021:Released Case Study: Analysis of COVID-19 Policies.
September 14, 2020: Released English Version.
August 4, 2020: Released Case Study' Discovery of Electoral Factors.
August 4, 2020:Updated the data of Case Study: Identifying Mammals.
Wide Learning™ News
Reiko Muto, Shigeki Fukuta, Tetsuo Watanabe, Yuichiro Shindo, Yoshihiro Kanemitsu, Shigehisa Kajikawa, Toshiyuki Yonezawa, Takahiro Inoue, Takuji Ichihashi, Yoshimune Shiratori and Shoichi Maruyama
"Predicting Oxygen Requirements in Patients with Coronavirus Disease 2019 Using an Artificial Intelligence-Clinician Model Based on Local Non-Image Data"
"Fujitsu and Tokyo Medical and Dental University leverage world’s fastest supercomputer and AI technology for scientific discovery to shed light on drug resistance in cancer treatment"
The Japan Society for Artificial Intelligence, 16th conference of Special Interest Group on Business Informatics (SIG-BI)
Tomoya Noro, Takashi Kato, Shigeki Fukuta, Tatsuya Asai, Hiroaki Iwashita, Yuta Fujishige, Takasaburo Fukuda, Kotaro Ohori
"AI-based analysis of impact of non-pharmaceutical interventions against COVID-19 with respect to country/region features"
About the Trial Tool Wide Learning™
We at Fujitsu Research hope that not only companies and researchers but also the general public will become aware of, use, and appreciate "Wide Learning™".
Accordingly, we decided to provide a "Trial Tool" environment for people to experience Wide Learning™, as well as explanatory documents and case studies.
The target age is 12 or over (junior high school students or older), and we recommend that students use it with their parents.
Please contact us below with any inquiries about business ideas related to the experience tool.
*Please note that use of some core functions is limited.
