Page 172 - AI for Good-Innovate for Impact
P. 172

AI for Good-Innovate for Impact



                      (continued)

                       Domain         Good Health and Well-Being
                       Model Train-   •  A continuous-time dynamic graph representation learning framework
                       ing and          is proposed for OD(Origination and Destination) demand forecasting.
                       fine-tuning      Different from the previous research, our method maintains continu-
                                        ous time node representations and updated them continuously once a
                                        number of transactions are available. As the evolutionary dynamics of
                                        stations could be learned in an extremely fine time scale, our method is
                                        promising to achieve higher prediction accuracy.
                                      •  A hierarchical message passing module is proposed to model the spatial
                                        interactions of stations.
                                      •  Extensive experiments have been conducted on two real-world datasets.
                       Case Studies   The World Health Organization's Decade of Healthy Ageing 2021-
                                      2030(SDGS 3, 10, 11).
                       Testbeds or    The pilot is deployed on China Mobile's internal network.
                       pilot deploy-
                       ments



                      39�2� Use case description


                      39�2�1  Description

                      Introduction: China Mobile is actively responding to the challenge of co-benefits arising from
                      "working to improve the lives of older people, their families and the communities in which they
                      live" within the National strategic plan advocated by the World Health Organization. To address
                      these complex issues, China Mobile has developed the AI Enabling Jiutian Travel Model, which
                      is associated with good health and well-being and can improve a country's performance in
                      achieving the Sustainable Development Goals.

                      Overview of the product: AI Enabling Jiutian Travel Model includes a large model of real-time
                      positioning, identity determination, loss judgment and travel path prediction for elderly people
                      living alone, aiming to accurately and quickly monitor the complex location trajectory dynamics
                      of elderly people living alone. This product, based on 5G base station signaling data analysis,
                      integrates AI-based trajectory analysis for elderly people living alone to achieve the co-benefits
                      of sustainable development over the Decade of Healthy Ageing 2021-2030.

                      Cooperative efforts: China Mobile, in cooperation with the Chinese government, has developed
                      an AI Enabling Jiutian Travel Model, which covers functions such as real-time location, identity
                      determination, loss of contact judgment, travel path prediction, and pilot applications to help
                      family members of elderly people timely grasp the location information and health and safety
                      status of elderly people living alone. On the basis of this work, through cooperation with the
                      government, products and services are extended to more families, so that more elderly people
                      can enjoy health care services. This product will enable the achievement of the SDG co-benefits,
                      particularly in the realm of good health and well-being for older persons living alone, This is
                      essential to promote equitable and sustainable development.

                      Partner: Zhuhu Town People's Government, Sihong County, Suqian City, Jiangsu Province







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