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 "
"Fujitsu and Tokai National Higher Education and Research System collaborate on AI-based space weather research "
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"
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"
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"
"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 following presentation in August 2020 received the JSAI Incentive Award 2020.
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"
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"
The Japan Society for Artificial Intelligence, 53th conference of Special Interest Group on Semantic Web and Ontology (SIG-SWO)
Takasaburo Fukuda, Yusuke Koyanagi, Shigeki Fukuta, Seiji Okura, Yuta Fujishige, Hiroaki Iwashita, Kotaro Ohori
"A Variable Selection Method for Explainable AI using Hyponymy Relations of Knowledge Graph"
Takasaburo Fukuda, Yusuke Koyanagi, Shigeki Fukuta, Seiji Okura, Yuta Fujishige, Hiroaki Iwashita, Kotaro Ohori
"A Variable Selection Method for Explainable AI using Hyponymy Relations of Knowledge Graph"
The Japan Society for Artificial Intelligence, 18th conference of Special Interest Group on Business Informatics (SIG-BI)
Yusuke Koyanagi, Kento Uemura, Tatsuya Asai, Junji Kaneko, Kotaro Ohori
"Developing a Framework for Individual Causal Discovery and its Application to Real Marketing Data"
Yusuke Koyanagi, Kento Uemura, Tatsuya Asai, Junji Kaneko, Kotaro Ohori
"Developing a Framework for Individual Causal Discovery and its Application to Real Marketing Data"
A new technology related to Wide Learning™ was released.
"Fujitsu and Hokkaido University Develop "Explainable AI" Technology Providing Users with Concrete Steps to Achieve Desired Outcomes"
"Fujitsu and Hokkaido University Develop "Explainable AI" Technology Providing Users with Concrete Steps to Achieve Desired Outcomes"
A new technology utilizing Wide Learning™ was released.
"Fujitsu Develops Technology to Discover Characteristic Causal Relationships of Individual Data in Medicine, Marketing, and More"
"Fujitsu Develops Technology to Discover Characteristic Causal Relationships of Individual Data in Medicine, Marketing, and More"
An advertisement article about Wide Learning was published in the Nature Index AI Special (Nature Vol. 588 Issue 7837 published December 10, 2020).
"Building natural trust in artificial intelligence"
"Building natural trust in artificial intelligence"
The Japan Society for Management Information, National Convention of JASMIN 2020 Autumn
Shigeki Fukuta, Tomoya Noro, Takashi Kato, Tatsuya Asai, Hiroaki Iwashita, Yuta Fujishige, Takasaburo Fukuda, Kotaro Ohori
"Effectiveness Estimation of Interventions against COVID-19 Using AI"
Shigeki Fukuta, Tomoya Noro, Takashi Kato, Tatsuya Asai, Hiroaki Iwashita, Yuta Fujishige, Takasaburo Fukuda, Kotaro Ohori
"Effectiveness Estimation of Interventions against COVID-19 Using AI"
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"
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"
A paper related to Wide Learning™ was released on arXiv.
Hiroaki Iwashita, Takuya Takagi, Hirofumi Suzuki, Keisuke Goto, Kotaro Ohori, Hiroki Arimura (Hokkaido Univ.)
"Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification"
CoRR abs/2004.08015
Hiroaki Iwashita, Takuya Takagi, Hirofumi Suzuki, Keisuke Goto, Kotaro Ohori, Hiroki Arimura (Hokkaido Univ.)
"Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification"
CoRR abs/2004.08015
A paper related to Wide Learning™ has been accepted for IJCAI 2020, one of the top conferences in the field of artificial intelligence.
However, the venue and date of the conference have not been decided yet.
Kentaro Kanamori (Hokkaido Univ.), Takuya Takagi, Ken Kobayashi, Hiroki Arimura (Hokkaido Univ.)
"DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization"
However, the venue and date of the conference have not been decided yet.
Kentaro Kanamori (Hokkaido Univ.), Takuya Takagi, Ken Kobayashi, Hiroki Arimura (Hokkaido Univ.)
"DACE: Distribution-Aware Counterfactual Explanation by Mixed-Integer Linear Optimization"
Public symposium, "The intersection of business and Japanese" (Sponsored by the National Institute for Japanese Language and Linguistics)
Tatsuya Asai, Takashi Yanase "Using Wide Learning ™to Analyze Purchase Order Documents"
Tatsuya Asai, Takashi Yanase "Using Wide Learning ™to Analyze Purchase Order Documents"
The 15th Japan Society for Artificial Intelligence Business Informatics (SIG-BI)
Takashi Kato, Keisuke Goto, Yotetsu Iwashita, Takuya Takagi, Hiroshi Suzuki, Kotaro Ohori
"Discretization Method for Rule-Based Machine Learning"
Takashi Kato, Keisuke Goto, Yotetsu Iwashita, Takuya Takagi, Hiroshi Suzuki, Kotaro Ohori
"Discretization Method for Rule-Based Machine Learning"
The Japan Society for Artificial Intelligence, 111th Special Interest Group on Fundamental Problems in Artificial Intelligence (SIG-FPAI)
Yotetsu Iwashita, Takuya Takagi, Hiroshi Suzuki, Keisuke Goto, Kotaro Ohori, Hiroki Arimura (Hokkaido University)
"Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification"
Yotetsu Iwashita, Takuya Takagi, Hiroshi Suzuki, Keisuke Goto, Kotaro Ohori, Hiroki Arimura (Hokkaido University)
"Efficient Constrained Pattern Mining Using Dynamic Item Ordering for Explainable Classification"
"Fujitsu's AI Can Make Decisions" was published in the Nikkei Sangyo Shimbun (November 1, 2019).
Japan Society for Management Information 2019 Autumn National Conference
Special Seminar 1 "New AI to Accelerate Deployment in the Field" (Chair: Kotaro Ohori)
Hirokazu Anai: "AI Trends and Expectations for Wide Learning™"
Keisuke Goto: "Explainable AI "Wide Learning™" Combines Discovery Science and Machine Learning"
Tatsuya Asai: "Social Practice through Wide Learning™"
Special Seminar 1 "New AI to Accelerate Deployment in the Field" (Chair: Kotaro Ohori)
Hirokazu Anai: "AI Trends and Expectations for Wide Learning™"
Keisuke Goto: "Explainable AI "Wide Learning™" Combines Discovery Science and Machine Learning"
Tatsuya Asai: "Social Practice through Wide Learning™"
Japan Society for Management Information 2019 Autumn National Conference
Yukiko Yoshida, Takashi Yanase, Takashi Kato, Yusuke Koyanagi, Tatsuya Asai, Kotaro Ohori
"A proposal of an AI-based national election forecasting framework
An application of “Wide Learning” technology that discovers important combinations of data items"
Yukiko Yoshida, Takashi Yanase, Takashi Kato, Yusuke Koyanagi, Tatsuya Asai, Kotaro Ohori
"A proposal of an AI-based national election forecasting framework
An application of “Wide Learning” technology that discovers important combinations of data items"
At CEATEC 2019, we exhibited the
"Wide Learning™" AI for Discovering Important Hypotheses Hidden in Society and Business".
Nikkei Cross Tech (October 15, 2019)
"Fujitsu's Explainable AI - Wide, Not Deep" was published.
"Fujitsu's Explainable AI - Wide, Not Deep" was published.
FUJITSU Magazine (Vol. 70, No. 4) September 2019 Issue:
Kotaro Ohori, Tatsuya Asai, Yotetsu Iwashita, Keisuke Goto, Junichi Shigezumi, Takuya Takagi, Yuri Nakao, Hirokazu Anai
"Wide Learning™ Technology to Connect Trust through Knowledge Discovery"
Kotaro Ohori, Tatsuya Asai, Yotetsu Iwashita, Keisuke Goto, Junichi Shigezumi, Takuya Takagi, Yuri Nakao, Hirokazu Anai
"Wide Learning™ Technology to Connect Trust through Knowledge Discovery"
The 184 NINJAL Salon (National Institute for Japanese Language and Linguistics)
Ayako Sano (National Institute for Japanese Language and Linguistics), Takuya Iwasaki (National Institute for Japanese Language and Linguistics), Tatsuya Asai
"A Study of Crowdsourcing Expression Analysis - Using Wide Learning™ -"
Ayako Sano (National Institute for Japanese Language and Linguistics), Takuya Iwasaki (National Institute for Japanese Language and Linguistics), Tatsuya Asai
"A Study of Crowdsourcing Expression Analysis - Using Wide Learning™ -"