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HKU and MIT jointly create ItiNera: your personal AI tour guide, planning the perfect Citywalk route with one click!
In the hustle and bustle of the city, everyone longs for a citywalk, traveling through the streets and alleys, exploring historical sites, and immersing themselves in the local culture. However, planning a satisfying city walk is not easy. It requires the collection of travel information, the selection of points of interest (POI), route planning, and personalized customization. Now, a new technology, ItiNera, jointly developed by researchers from the University of Hong Kong, Shanghai Jiao Tong University, Massachusetts Institute of Technology, and Hong Kong Polytechnic University, is making this process simple and efficient. ItiNera is an open domain city walk…- 8.1k
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HKU and Baidu release UrbanGPT, the first smart city big model, to help achieve breakthroughs in spatiotemporal prediction technology
The University of Hong Kong and Baidu jointly released the first smart city big model UrbanGPT, which has triggered a major breakthrough in the field of spatiotemporal prediction technology. The importance of spatiotemporal prediction technology is becoming increasingly prominent, focusing not only on the flow of traffic and people, but also covering multiple dimensions such as crime trends. However, due to insufficient urban data, traditional spatiotemporal prediction models are limited in terms of accurate prediction. The emergence of UrbanGPT fills this gap, and its strong generalization ability makes it show great potential in the field of zero-shot learning. Challenges faced by UrbanGPT include scarce labels and high training costs…- 4.7k
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HKU develops V-IRL platform: Incorporating real-world maps into virtual environments to give AI Agents a complete life!
Recently, a research team from HKU and NYU collaborated to develop a platform called V-IRL, which incorporates rich information such as real-world maps and street views into virtual environments to provide AI Agents with a more realistic and complete life experience. This research centers on building a scalable platform to embed AI intelligences into real urban environments using APIs such as geographic information and street view images. The researchers used V-IRL to instantiate a series of intelligences that can perform a variety of tasks, such as finding restaurants, housing, and urban planning. On this platform, the intelligences can also be inter...- 5.7k
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