BEIJING E-TOWN BUILDS ITSELF INTO AI TOWN
- news2u
- Jul 3, 2024
- 1 min read
BEIJING, July 2, 2024 /Xinhua-AsiaNet/--
On June 29, the AI Town Innovation Conference of Beijing E-Town was held at the National Industrial Park for Information Technology Application and Innovation, releasing Beijing E-Town's development plan of building itself into an AI-based town.
At the conference, which was held by Beijing Economic-Technological Development Area Management Committee, E-Town's top ten AI applied scenarios and results were released in series, the Yizhi government affair large-model service platform was launched, and Beijing AI Application Scenario Institute (BAIASI) and Beijing AI Native Industry Acceleration Platform (BAINIAP) were unveiled.
Beijing E-Town has focused on building itself into an AI town, advancing the deep integration of AI technology with the development of E-Town New Town as well as industrial upgrading and transformation. It has made efforts to introduce technological innovation through scenario applications, establish city-level AI engineering test platforms, and better balance development with safety. It has explored the path mechanism of AI empowering production and lifestyle, pioneered the trial in special industries, high-risk positions, and repetitive labor segments, and boosted the incubation, application and empowerment of AI technology across the district.
Serving as a pioneer in the capital's high-quality development, a ballast of the capital's real economy and a leading site for high-end, sophisticated and cutting-edge technology sectors, Beijing E-Town has nearly 100,000 business entities and attracted 157 projects invested by 102 global 500 enterprises, covering a wide variety of industrial scenarios like biomedicine, automobile manufacturing, commercial space and intelligent manufacturing. By amassing a wide range of high-quality data in vertical fields, the area has enjoyed exceptional AI application advantages, functioning as the best test ground for large AI models and industry vertical models.
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