This paper proposes an entity relationship extraction model IL-BERT which is based on BERT and can be aware of the entity length. This model introduces entity length information into the entity feature vectors extracted with the BERT method to enhance the representation ability of entity features. Experiments are conducted on both public and non-bidding procurement datasets, and the results show that the F1 values of the proposed model are better than those of the baseline model.
New computing services such as Artificial Intelligence-Generated Content (AIGC) are booming. The development of computing power network also presents new trends and characteristics to meet the needs of new business development. This paper focuses on the challenge and design of computing power network for new AIGC computing services. Firstly, the necessity of introducing the computing network for AIGC services is introduced, and the significance and value of the combination is introduced. Secondly, a new computing power network architecture bearing AIGC services is designed. Finally, the current development trend and challenges are analyzed, which points out the direction for the follow-up research work.
The metaverse scene constructed based on the real physical environment is an important bridge connecting the physical world and the digital world, and an important way to achieve the transformation from digital twinning to virtual and real coexistence. First, this paper focuses on the key links of constructing metaverse scenes such as 3D reconstruction and rendering, and summarizes the current mainstream technology paths and innovation trends. Then, it discusses the optimization of artificial intelligence technology in related fields, as well as the research and theoretical optimization of neural rendering technology models. Finally, it analyzes the application pattern and innovation direction of key software and hardware products, and proposes suggestions for the current technological innovation in China.
In the era of Internet of Things and big data, the large-scale deployment in the end side of image sensing systems motivates the sensors to develop towards superior intelligence, high integration, and low power consumption. Using the integrated functions of sensing and storage at the pixel level, in-sensor computing (ISC) can realize the high-precision parallel mixed-signal processing of two-dimensional spatial perceptual information. A series of cost-effective and diverse solutions for advanced image sensing system for intelligent applications in edge can be provided, through combining ISC with near-sensor computing and off-chip post-processing.
Based on the actual situation of the development of compute-in-memory technology and industry, against the backdrop of rapid development of artificial intelligence computing power, this paper first analyzes the current status and trends of compute-in-memory technology development in the dimensions of basic hardware, computing architecture, and technological challenges. Then, it studies the industrial structure, main applications, and opportunities and competitive challenges faced by the compute-in-memory industry. Finally, based on the actual development of China’s computing technology industry, a strategy for compute-in-memory development is proposed.
Optical computing is a novel computing system based on optical unit which uses light as a primary means for information transmission and has a specific computing function. Compared with the traditional electronic computing technology, it has the advantages such as high speed, low energy consumption and high parallelism. However, there are several challenges on its way to widely commercial application, such as achieving device integration, miniaturization and portability. In recent years, with the rapid development of related technologies such as the silicon-based optoelectronic integration technology and the quantum technology, optical computing is expected to become a promising technical path to meet the urgent needs of high computing performance and low energy consumption brought by the development of artificial intelligence. Thus, it has become a research focus. First, this paper introduces the principle and development trend of the main technical paths of optical computing. Then, it analyzes the industrialization process of optical computing, the main application fields and existing challenges. Finally, it proposes the main development direction in the future.
With the continuous improvement of network speeds, the network processing overhead becomes increasingly significant. The in-network computing technology has become a key technology to offload the burden of hosts, release computing power of server, and solve network bottlenecks, which has attracted much attention in the fields of cloud computing and edge computing. First, starting with the needs of in-network computing, the background of in-network computing is described. Then, the development and industrialization of in-network computing technology is sorted out by focusing on the two aspects, namely, programmable switch and smart Network Interface Card (NIC). Finally, the application prospect of in-network computing is analyzed, and the application scenarios and the application value are proposed.
China’s economic development has entered a new stage of high-quality development, and the telecommunication terminal industry is facing unprecedented opportunities. Domestic enterprises are vigorously exploring overseas markets, and their influence is growing. How to ensure that telecommunication terminal products meet the regulatory requirements of various countries has become an urgent problem for overseas enterprises. This paper describes the access certification requirements, classifies the destination countries and regions according to the access certification requirements, and proposes certification solutions for different classifications. In addition, based on the access certification pain points and difficulties faced by overseas enterprises, this paper also puts forward reasonable suggestions for the follow-up work of China’s certification laboratories, telecommunication terminal enterprises and other parties related to the industry.
With the rapid development of big data and artificial intelligence, how to protect data security has become an urgent problem. Against this backdrop, the privacy-preserving computation technology provides a new circulation mode of data elements. Combined with big data, artificial intelligence and cryptography, an innovative system of data element circulation based on knowledge federation is proposed. It solves the primary business problems faced by the current data element circulation, and the security and privacy problems of different levels of data. In addition, it gives full play to the business value of the data, and realizes quantification, thus creating a virtuous circle of data element circulation through the data value evaluation.
The “city brain” has increasingly become a new hotspot in research on smart cities, helping to improve the intelligence level of cities, but the construction of smart cities still needs further improvement. With the vigorous development of new technologies such as new-generation Artificial Intelligence (AI), simulation modeling and business intelligence, sustainable business models and operation models are taken as the principles. AI capabilities are universalized throughout the life cycle of the city, and all aspects of the city are deeply integrated and coordinated. All those will deeply affect the construction planning and governance mode of the city and form the intelligent decision-making of urban operation and management. Cities can further evolve into intelligent, open and evolving ecology, so cities of the future are no longer out of reach.
Based on the current development situation of high-performance computing, this paper proposes a technical path combining National Supercomputing Center with privacy-preserving computation. By analyzing privacy-preserving computation, this paper discusses the advantages and disadvantages of combining privacy-preserving computation with supercomputing. Besides, this paper proposes the application scenarios after the combination of high-performance computing technologies with the privacy-preserving computation technology.
The core of RSA algorithm is large number modular multiplication. Improving its operation speed is not only of great significance to the improvement of RSA algorithm, but also will have a certain positive effect on the promotion of e-commerce if the speed can be achieved quickly and cheaply through application specific integrated circuit. Based on the study of Montgomery algorithm, this paper proposes a basic 2-Montgomery modular multiplication operation based on the parallel prefix adder architecture, and constructs a 1 024-bit Kogge-stone adder. The simulation results show that the proposed method can effectively reduce the delay time of operand and improve the efficiency of large number modular multiplication to a certain extent.
On the basis of the existing research on the intelligence grading evaluation of operation and management, this paper first introduces the current standardization research situation of intelligence grading evaluation of information communication network both at home and abroad. Then, it discusses several considerations and main challenges faced by the intelligence grading evaluation of transport network operation and management. Finally, it studies the main characteristics and application of the related grading evaluation methods.