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AI

Technology Topics: AI

R&D Initiatives

R&D Initiatives: AI

AI
We are developing technologies for obtaining useful knowledge from huge amounts of data, and for structurizing the knowledge to be used freely by ICT devices, and for generating new knowledge from this structured knowledge.

  • [September 20, 2017] Fujitsu Fuses Deep Tensor with Knowledge Graph to Explain Reason and Basis Behind AI-Generated Findings
    Fujitsu Limited and Fujitsu Laboratories Ltd. today announced that they have developed technology that shows the reason and academic basis for findings from AI that have been trained on large volumes of data. This is done by connecting the proprietary AI technology Deep Tensor, which performs machine learning on graph-structured data, with graph-structured knowledge bases called a knowledge graph, which brings together expert knowledge such as academic literature.
  • [August 30, 2017] Fujitsu AI Ideally Matches Children to Daycare Centers
    Fujitsu Limited, Fujitsu Laboratories Ltd., and the Fujitsu Social Mathematics Division of the Institute of Mathematics for Industry at Kyushu University have developed an AI-based matching technology that uses game theory to automatically calculate an optimal matching of children to daycare centers. Using this technology, a complicated daycare admissions screening that had previously required several days by hand took only seconds.
  • [August 28, 2017] Fujitsu Deep Learning Technology Successfully Estimates Degree of Internal Damage to Bridge Infrastructure
    Fujitsu Limited and Fujitsu Laboratories Ltd. today announced the development of sensor data analysis technology that can aggregate vibration data with sensors attached to the surface of a bridge, and then estimate the degree of the bridge's internal damage through the application of "FUJITSU Human Centric AI Zinrai technology," Fujitsu's approach to artificial intelligence.
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