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Technology Topics: AI

R&D Initiatives

R&D Initiatives: 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.

  • [November 01, 2017] Fujitsu Field Trials Ship Performance Estimation Technology with Mitsui O.S.K. Lines and Ube Shipping & Logistics
    Fujitsu Laboratories Ltd. today announced that it has conducted a trial of a ship performance estimation technology together with Mitsui O.S.K. Lines (MOL) and Ube Shipping & Logistics, Ltd. Developed by Fujitsu Laboratories and Tokyo University of Marine Science and Technology (TUMSAT), the technology can predict figures such as ship speed and fuel consumption. The results of the trial showed that the technology is capable of estimating ship performance with an estimated margin of error under 1.5%, both on the ocean and near the coast, and in a variety of weather and wave conditions. With this technology, it is possible for operators to accurately predict ship courses that will reduce fuel consumption, leading to lower fuel costs.
  • [October 11, 2017] Fujitsu Laboratories Introduces AI Based Automatic Patch Generation Technology
    At the Fujitsu Laboratories Advanced Technology Symposium, Fujitsu Laboratories of America, Inc. (FLA) and Fujitsu Laboratories Limited (FLL) today announced the availability of new technology to automatically generate patches for bugs in object-oriented programs, which are typically used for business application software development. This technology uses machine learning on a corpus of all archived bug reports and bug patches to reduce the average time to diagnose and fix single-fault-location bugs by 28.8% compared to the conventional heuristic-search-based patch generation technology and manual patching.
  • [October 11, 2017] Fujitsu Laboratories of America Introduces API Learning Technologies to Manage the Rise of API Economy
    At the Fujitsu Laboratories Advanced Technology Symposium, Fujitsu Laboratories of America today announced the availability of new technology to manage the exponential growth in publicly available APIs. The newly developed platform uses various methods of machine learning and natural language processing (NLP) to return the appropriate API sets in response to user requests. Additionally Fujitsu Laboratories of America has developed an ensemble of novel technologies referred to as “API Learning” which enables a software developer to easily use heterogeneous APIs. These technologies enable a machine to automatically generate machine-readable format of API functionalities from API documentation, understand variety of API descriptions, validate extracted information through automatic API validation, and finally recommend API mashups for a specific purpose.