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What does digital twin mean?
A digital twin is a virtual model that maps the state and behavior of a physical entity in real time, created by connecting sensors and data sources, and used for predictive analytics, optimized performance, and remote monitoring. If you want to know more about digital twins, you can read the articles below this topic.
What is a digital twinA digital twin is a virtual model that maps the state and behavior of a physical entity in real time, created by connecting sensors and data sources, and used for predictive analytics, optimized performance, and remote monitoring. Benefits include: predictive maintenance, optimized performance, remote monitoring, collaboration and training. Applications range from manufacturing, energy, transportation and healthcare.
Digital twins and artificial intelligence development prospects in 2024Artificial intelligence (AI) and digital twins are technology fields that have attracted much attention and are widely used. Here are some of their trends: 1. Implementing generative AI in cities By 2024, artificial intelligence (AI) will play a significant role in shaping the urban technology landscape. Cities have already made great strides, particularly in using artificial intelligence in areas such as traffic management and emergency response. However, the standout development of the past 18 months has been a deeper understanding of the potential of generative AI, particularly in the application of large language models (LLMs). Generative artificial intelligence, represented by LLM, demonstrates the potential ability of cities to improve efficiency and promote unique interactions with information. Cities are expected to increasingly adopt LLM, primarily to better serve
Digital twin brain: bridging biological intelligence and artificial intelligenceA series of recent developments in neuroscience and AI technology inspired by the structure of the human brain have opened up new possibilities for us to solve the mystery of intelligence. Now, a research team led by Professor Jiang Tianzi from the Institute of Automation, Chinese Academy of Sciences, has outlined the key components and features of an innovative platform called "Digital Twin Brain." The platform promises to bridge the gap between biological intelligence and artificial intelligence and provide novel solutions for both ends. This research was published in the journal Intelligent Computing on September 22. One major similarity between biological intelligence and artificial intelligence is that both belong to network structures. Because the brain is made up of biological networks, researchers hope to use artificial networks to build corresponding digital models or large
Metaverse and digital twinMetaverse and Digital Twin are two emerging technological concepts that have attracted much attention. They will profoundly change the way people produce, live and entertain. The metaverse is a virtual world that contains the fusion of the digital world and the real world, and digital twins refer to digital models of physical objects in the real world. This article will provide a detailed introduction and comparison between the metaverse and digital twins to help readers better understand and apply these two concepts. 1. The concept of the metaverse The metaverse is a virtual world that contains the fusion of the digital world and the real world. In the metaverse, people can interact, communicate and experience using digital technologies such as virtual reality technology, augmented reality technology and artificial intelligence technology.
Seven steps before developing a digital twinWith advances in cloud infrastructure, edge computing, IoT, distributed data management platforms and machine learning capabilities, digital twins have moved from science fiction to a more mainstream business capability. For a long time, enterprises could afford the separation between OT and IT, but that is no longer the case for manufacturers, construction, retail and other businesses that must connect the physical and digital worlds. Digital twins are one channel for achieving this connection, with operational benefits for optimizing production and improving quality. What’s more, there are strategic benefits when machine learning on real-world data is used to improve products, services, and business processes. Here are 7 steps before developing a digital twin: 1. Research successful deployment Before brainstorming and diving into any new technology areas, or building
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