Functions and Characteristics　/　DTC

DTC

Digital Twin Computing (DTC) is one of the major technological fields that make up the IOWN. By combining high-precision digital information about things, people, and society, it aims to realize large-scale, high-precision future predictions and trials that go beyond the limits of conventional ICT, as well as advanced communications with new value. DTC will accelerate the realization of a smart society by enabling solutions to complex social issues and the creation of innovative services.

In the field of human-centered digital twin computing, we are working to realize "Another Me," a digital twin that can autonomously act on behalf of humans by learning the feelings, sensibilities, and diverse personalities of humans using NTT's "tsuzumi" large-scale language model as the basis for thinking. Through these efforts, we aim to provide advanced digital humans who support people in various industrial domains and solve communication gaps that arise in business and everyday situations.

In digital twin computing related to society and the environment, we aim to realize a mechanism that can digitally represent society and people with high precision from a macroscopic perspective and explore the future of society. Specifically, in our “Urban Development DTC," we are taking into account the impact between multiple services across multiple industrial domains, such as energy, retail, real estate, and mobility, and using predictions of individual behavior, changes in the environment and materials, and predictions of their mutual impact, we are working to derive the overall optimization of related services so that they can be controlled. We are also promoting initiatives to support decision-making on how social systems should be transformed by visualizing changes in social systems in response to environmental changes by interconnecting predictive models on a global scale and economic and social systems toward a sustainable society.