Wide Learning
- What is Wide Learning™? (To be updated)
- About Us (To be updated)
- Trial Tool
Wide Learning™
- 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.
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Discovery for you
Understanding Wide Learning™
- Basic Concept of Wide Learning™
- Target: For beginners aged 12 and over
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Details here (To be updated)
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Four Characteristics of Wide Learning™
- Target: For intermediate users
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Details here (To be updated)
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Comparison with Other Major AI Technologies
- Target: For advanced users (researchers, etc.)
- Details here (To be updated)
Wide Learning™ Case Studies
- Identifying Mammals
- Target: For people aged 12 and over
- Let's see if we can identify mammals using information about animals.
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Go to the Case Study (To be updated)
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Discovery of Electoral Factors
- Target: For people aged 16 and over
- What are the features of people who win elections?
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Go to the Case Study (To be updated)
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Analysis of COVID-19 Policies
- Target: For people aged 16 and over
- Let's try to discover effective ways to prevent the spread of infections.
- Go to the Case Study (To be updated)
Wide Learning™ News
- March 14, 2024:
- Fujitsu Press Release
- Wide Learning™ is applied to AI-based space weather research as a collaboration with Tokai National Higher Education and Research System (THERS).
- "Fujitsu and Tokai National Higher Education and Research System collaborate on AI-based space weather research "
- November 30, 2022:
- Paper Published
- A paper related to Wide Learning™ has been published in Frontiers in Medicine.
- 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"
- March 7, 2022:
- Fujitsu Press Release
- A new technology utilizing Wide Learning™ together with the supercomputer Fugaku was released.
- "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 past news (To be updated)
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.
- To the Trial Tool
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