Baidu showcased its strengths in artificial intelligence technology with the launch of Baidu Brain 7.0, the start of mass production of its 2nd generation Kunlun AI chip, Kunlun II, and the demonstration of industrial applications using Baidu AI Cloud. Shared at Baidu World 2021, Baidu's annual technology conference, the announcements represent the depth of Baidu's expertise in AI technology and industrial practice, and its efforts to make AI technology more accessible. A key infrastructure supporting industrial applications of AI and Baidu Cloud, Baidu Brain is one of the world's AI open platforms. The newly upgraded Baidu Brain 7.0 offers greater integration of a wide array of knowledge sources and deep learning, including language comprehension and reasoning, using numerous combined technologies to enable output across language, voice and visual formats. Working together with Baidu Brain 7.0's software capabilities is the new Kunlun II AI Chip, providing an improved hardware foundation for a new generation of AI applications. Independently developed by Baidu, Kunlun II offers 2-3 times more processing power than the previous generation, using the 7nm process and equipped with Baidu's own second-generation XPU architecture. The chip can be applied in multiple scenarios, including cloud, terminal, and edge, able to empower high-performance computer clusters, biocomputing and intelligent transportation and autonomous driving. Specifically optimized for AI technologies such as voice, natural language processing and images, the new Kunlun chip supports deep learning frameworks such as Baidu's open source platform PaddlePaddle. This diverse range of uses gives the 2nd generation Kunlun AI Chip a powerful potential role in powering AI applications ranging from Internet core algorithms to smart cities and smart industry. Both Baidu Brain 7.0 and Kunlun II allow for significantly enhanced accessibility and ease of use. Together with Baidu's PaddlePaddle, the bundled AI platform offers a diverse product system to help different types of developers use AI technology quickly and efficiently, providing a wealth of tools to simplify the development and implementation of AI in real world scenarios.