Artificial Intelligence Technology and Application

With the continuous breakthrough of deep learning technology, the application of artificial intelligence (AI) algorithms in the field of computer image processing has changed from an early auxiliary tool to a core creation engine. The paper focuses on the technological evolution, core capability construction and practical application path of artificial intelligence algorithms in image processing, and combines the latest research results and industry cases to analyze how algorithms break through the boundaries of traditional image processing and achieve qualitative changes from efficiency improvement to content generation. Through discussing the technical principles, application scenarios and future trends, the paper provides a systematic reference for the research and practice in related fields.

Under the background of artificial intelligence, the application of image recognition technology shows a development trend of diversification, systematization, and high efficiency. Using the deep learning logic and visual information language of artificial intelligence technology to improve the application system of image recognition technology will be the key to enhancing the effectiveness of image recognition technology application. In the new era and under the background of artificial intelligence, image recognition technology should continuously promote the integrated development of artificial intelligence technology and image recognition technology through the use of multiple basic strategies, such as the construction of deep learning models, the use of large-scale datasets, and the optimization of hardware acceleration technology, so as to strengthen the technical application level of artificial intelligence technology in image recognition.

To address the lack of hands-on practice in fault diagnosis teaching for new energy vehicles, this paper designs a fault-setting training bench for new energy vehicles based on voice interaction. Through a programmable relay matrix and an impedance simulation module, combined with offline speech recognition technology, the bench achieves dynamic simulation and recovery of open-circuit and short-circuit faults in the wiring harnesses between the electronic control unit (ECU), the sensors and the actuators of a new energy vehicle. The system supports voice command control in both Chinese and English, is compatible with the wiring harness interfaces of mainstream vehicle models, and incorporates multiple safety protection mechanisms, which can significantly improve the efficiency and accuracy of trainees in diagnosing faults of new energy vehicles.

With the rapid development of information technology, artificial intelligence technology has been applied more and more widely in various fields. As an important link in knowledge management and cultural dissemination, literature resource construction is also facing an unprecedented opportunity for transformation. This paper analyzes the applications of artificial intelligence technology in literature resource construction and the challenges it faces, puts forward corresponding countermeasures, and deepens and expands the future research directions, in the hope of providing a theoretical reference for literature resource construction in university libraries.

Artificial intelligence is a strategic technology leading a new round of scientific and technological revolution and industrial transformation. Global artificial intelligence governance refers to the regulation and control of the multifaceted issues involved in the entire process of the research, development and application of artificial intelligence, and it plays a key role in guiding science and technology toward good and in shaping a sustainable global artificial intelligence ecosystem. Taking the current state of global artificial intelligence governance as its starting point, and in view of the current dilemmas—insufficient representativeness in participation, insufficient coordination among governance mechanisms, considerable difficulty in coordinating technical rules, and insufficient release of governance dividends—this paper proposes a framework for global artificial intelligence governance from the aspects of deepening the construction of multilateral cooperation mechanisms, focusing on the formulation of technical safety and ethical standards, attending to the construction of rules for cross-border data flow, and accelerating the fulfillment of artificial intelligence governance commitments, in the hope of providing new ideas for global artificial intelligence governance and of promoting the development of the global artificial intelligence governance system in a more open and inclusive direction.

In library informatization management, the application of artificial intelligence technology can not only improve management efficiency, but also optimize user experience and empower knowledge services. The application of artificial intelligence technology in library informatization is based on technologies such as big data, the Internet of Things, generative artificial intelligence, retrieval-augmented generation, semantic vectorization, and multimodal interaction. Artificial intelligence technology has great application value in intelligent resource management, intelligent service supply, and intelligent space operation in libraries, and can provide necessary support for the construction and operation of smart libraries.