As a leading brand of IT training, Dane has continued to build its leading influence in the industry. Its children's programming business is at the moment of market share and industry echelon division. When it meets a popular IP resource with its own nature of collusion, the two parties hit it off. On February 27 and 29, two special programs were launched sponsored by Dane IT training and its children's programming brand, Tongcheng Tongmei, Cross talk live broadcast cooperation in the form of customized topic implantation.
Wang Haifeng pointed out that AI technology is universal, showing the characteristics of standardization, automation and modularization, and has entered the stage of industrial production. He believes that in the new development stage, on the one hand, AI technology is becoming more and more complex, and integration and innovation are becoming more and more abundant; On the other hand, with the penetration of AI technology in various industries, it is critical to lower the threshold for different application scenarios.
In Wang Haifeng's view, the integration and innovation of AI technology can be described from several aspects, such as "integration of software and hardware, integration of knowledge and deep learning, cross modal multi technology integration, and integration of technology and scene".
First of all, software and hardware integration innovation. The integration of hardware design and software algorithms, such as Baidu Kunlun, a general-purpose AI chip in the cloud, is specially optimized for AI technologies such as voice, natural language processing, and image, and supports deep learning frameworks such as flying oars; Baidu Honghu, a far-field voice interaction chip, is specially customized for voice interaction with integrated software and hardware design, emphasizing that "software defined chip" is more suitable for deep learning model calculation; A visual technology matrix integrating software and hardware, which is oriented to end, edge and cloud application scenarios, integrates AI algorithms such as live detection and vehicle recognition, and hardware such as various modules, computing cards and kits to create an integrated solution.
Secondly, knowledge and deep learning integrate innovation. Build a multi heterogeneous and super large-scale knowledge map from massive data, with 550 billion knowledge. Through the integration of large-scale knowledge, the deep semantic understanding of knowledge enhancement is realized, and the semantic understanding effect is continuously improved in natural language judgment, automatic question answering, semantic matching, emotion analysis and other aspects.
Finally, technology and scene integration innovation. AI is infiltrating into all walks of life, and each industry has its own problems to solve, and there are application scenarios to break through, which requires deep integration of technology and scenarios. Intelligent search based on knowledge to enhance semantic understanding can understand user needs and massive content, realize semantic matching, and improve the efficiency and experience of users' access to information and services. The conversational AI system represented by small degree realizes intelligent interaction across scenarios and modes, and becomes a personal assistant for users. In the industrial scene, the intelligent industrial Internet platform is meeting various intelligent needs from design and development, production and manufacturing, to customer service, comprehensive security, etc.
He further pointed out that with the further deepening of integration and innovation, artificial intelligence technology is becoming more and more complex, and the threshold needs to be continuously lowered to meet a wide range of industrial applications. "As an open platform for in-depth learning and open source from industrial practice, Baidu Feizhuan has always been committed to lowering the threshold to meet the needs of developers in different industries, at different stages and at different levels."
Finally, Wang Haifeng said, "The platform has been committed to lowering the threshold, bringing together 3.2 million developers for collaborative innovation, accelerating the diversification and scale of AI applications, and accelerating the process of industrial intelligence." Up to now, Baidu has reached 120000 enterprises and institutions, covering industry, energy, agriculture, medical care, urban management, transportation Finance and other industries.