The innovative development of core technologies in artificial intelligence field has become a competitive focus for major economies to seize the first-mover advantage. The analysis of the competitive landscape of artificial intelligence technology from the perspective of technical intelligence plays an important role to accelerate related technology innovation layout and decision-making of responding to challenges.With the help of analysis tools like Histcite, VOSviewer, and the “Science Headlines” big data collection tool of the Beijing Academy of Science and Technology, the development trend of artificial intelligence technology was identified based on data from the Web of Science database, global patent database. Combined with the analysis of the United States’ restrictive measures on China’s science and technology, the international competition situation, opportunities and challenges facing the development of China’s artificial intelligence technology were analyzed. The countermeasures and suggestions for the development of China’s artificial intelligence technology are proposed, which can provide reference for promoting the rapid iterative development of AI technology in China

Revealing the effect of particle size distribution (PSD) to the stiffness characteristics of the red stratum soil-rock mixture (RS S-RM) has significant implications for the subgrade construction, with Sichuan Basin as a representative. 20 large-scale triaxial tests with different PSDs were conducted. Introducing the concept of effective dominant skeleton size ( d_{\mathrm{e}\mathrm{d}}), digital image processing technology was utilized to collect the d_{\mathrm{e}\mathrm{d}}. The relative dominance ratio ( D_{\mathrm{d}}) describing the structural skeleton changes after the test was defined. The response of the stiffness characteristics of the RS S-RM regarding confining pressure ( {\sigma }_3) and D_{\mathrm{d}} were investigated. Validation experiment and related research verify the credibility of the formation mechanism of stiffness. The results indicate that as the shearing process, more and more particles near the shear plane transition from their initial interlocking state to sliding friction. Consequently, the soil-stone framework evolves from a suspended-dense structure to a skeleton-dense structure, and finally transforms into a skeleton-void structure; the initial deformation modulus ( E_0) relationship with {\sigma }_3 and D_{\mathrm{d}} follows: E_0 = 14.50 + ( 1 + 36.33 {{\sigma }_3}^{0.1} ) {\mathrm{e}}^{1.06D_{\mathrm{d}}}. The relationship between the tangent deformation modulus ( E_{\mathrm{t}}) of the specimen at failure {\epsilon }_1 = 15 \mathrm{\%} is E_{\mathrm{t}} = - 6.06 + ( 1 + 0.08 {\sigma }_3 ) {\mathrm{e}}^{-0.09D_{\mathrm{d}}}. Validation experiment and related research confirmed the response of E_0 and E_{\mathrm{t}} to {\sigma }_3 and D_{\mathrm{d}}. The stiffness characteristics of the RS S-RM can be predicted solely based on the PSD and {\sigma }_3.

In response to the demand for reservoir protection during well maintenance of low-pressure gas wells in the South China Sea L gas field, the optimal evaluation of the system types and concentrations of foaming agents and foam stabilizers in the laboratory was carried out. A set of foam workover fluid system and preparation process suitable for L gas field were constructed. The system has a half-life of 60~72 h under reservoir conditions of 80~90 ℃ and a maximum temperature resistance of 100 ℃, demonstrating good temperature resistance and stability. The foam density can be as low as 0.5 g/cm³, matching with the pressure coefficient of the target reservoir, and effectively reducing the leakage. Through core damage test, the recovery rate of permeability of high permeability core after being polluted by foam workover fluid can reach 95.1%, indicating that the system has excellent reservoir protection performance.

As the forefront of technological innovation, industry occupies a central position in promoting the development of productive forces. Accelerating new industrialization is an inevitable choice for generating new productivity, shaping new competitive advantages and stimulating new economic momentum. From the perspective of qualitative reconstruction, new industrialization leads the improvement of the efficiency of labor materials, promotes the expansion of the scope of labor objects, stimulates the ability of workers to leap, reshapes the basic elements of productivity, and promotes the leap and qualitative change of its optimized combination, giving birth to new quality productivity. From the perspective of base support, new industrialization builds a solid base for the development of new quality productivity in five dimensions, namely, market, industry, numerical intelligence, safety and greenness, and empowers the emergence of new quality productivity in an omni-directional way.The process of new industrialization can be pushed forward from the network layer, innovation layer, application layer and linkage layer to accelerate the formation and development of new productivity.

Since feature point matching and optical flow estimation are closely related to the image texture, a standalone visual approach for video stabilization may not be suitable for all scenarios was used. A tightly coupled attitude-sensor-based video stabilization method was proposed. By adaptively adjusting weights, the optimal homography between images relies more on the attitude sensor in low-texture areas or more on feature matching in rich-texture areas. After obtaining the optimal transformation, a robust elastic warping method was applied to further align consecutive image frames. Experimental results demonstrate that the proposed video stabilization method achieves better performance and robustness.

In response to the problem of insufficient accuracy of the traditional Sadovski model, based on vibration monitoring data from the soft rock tunnel blasting construction site of the West Chongqing high-speed railway, the variation trend of the model parameters of the traditional Sadovski model at different footage was explored, and the Sadovski model was improved accordingly. The fitting accuracy of the traditional model and the improved model was compared. The results show that the peak vibration velocity during blasting construction generally decreases exponentially with the increase of blasting center distance, and the traditional model has a large degree of data dispersion after fitting. In the traditional Sadovski model, the parameters k(coefficient of association)and α(attenuation index)exhibit linear and exponential functional relationships with the footage, respectively. The prediction accuracy of the modified model is improved by about 23% compared to the traditional model.

In order to investigate the characteristics of karst pipeline in Dongcun, Xinyu, Jiangxi Province, rationally develop and utilize Karst water resources and scientifically protect karst water environment, two kinds of fluorescence tracers, sodium fluorescein and Rhodamine, were selected for quantitative tracing test research on Karst pipeline. The distribution, morphology and hydraulic characteristics of the Karst pipeline through the penetration curve and clarifies the connectivity of groundwater recharge, runoff and discharge characteristics were analyzed. The test results show that Zhangmuqiao water-dissipation cave is connected to Niulang Zhinv cave underground river. The Karst development of the underground river is extremely developed, with large-scale Karst pipeline as the main Karst pipeline. The pipeline is single-like and the underground runoff path of the main Karst pipeline is short. Some parts of the groundwater has the characteristic of pressure-bearing. The direction of the underground runoff is from east to west. Its flow rate is fast, and so is the solute migration rate. There’s small possibility of other drainage outlets. However, there is no hydraulic connection between the Zhangmuqiao water-dissipation cave and Shenniu cave underground river outlet.

Policy oriented agricultural insurance is an important tool to reduce agricultural risks and protect farmers’ income. Since the establishment of the policy oriented agricultural insurance system in Beijing in 2007, through the policy of “raising the standard and expanding the coverage of additional products”, the full cost insurance of wheat and corn has been included in the uniform provisions, and premium subsidies have been implemented to effectively enhance the enthusiasm of farmers to participate in the insurance. At the same time, relying on satellite remote sensing, big data and other technologies, it has realized the informatization of the whole process of underwriting and claims settlement, and significantly improved the service efficiency. At present, Beijing’s policy oriented agricultural insurance has covered all agricultural administrative regions, forming a diversified risk protection system covering planting, forestry, animal husbandry and fishery, which provide strong support for agricultural modernization and Rural Revitalization.

To enhance the accuracy of customer churn prediction, an improved Stacking ensemble learning method with Bayesian optimization(BO) incorporated was introduced. First, base learners were selected based on their predictive performance and inter-model correlations. Noticing the fact that the performance variation among base learners was neglected in the traditional Stacking methods, the Bayesian optimization was introduced to fine-tune the weights of each base learner for minimizing prediction errors. Finally, the weighted predictions from the base learners were combined, and the Logistic Regression serves as the meta-learner for the final prediction. The results demonstrate that the proposed BO-Stacking model outperforms both the single models and the traditional Stacking methods in terms of recall rate, F1-score, and AUC(area under the curve) value, which validates the effectiveness of the proposed approach. This provides a reliable reference for enterprises to develop effective customer retention strategies.

With the coordinated development of the Beijing-Tianjin-Hebei Region entering a new phase, the optimization and upgrading of the port logistics system have become critical factors in driving the economic vitality of the hinterland. The entropy weight method and a coupling coordination model were used to quantitatively analyze the interactive relationship between port logistics and hinterland economy in the four major port clusters of the Beijing-Tianjin-Hebei Region from 2017 to 2021. The results indicate that the efficiency and service capabilities of port logistics in the four major port clusters improved during the period from 2017 to 2021, with Tianjin Port showing the most significant performance. However, its direct driving effect on the hinterland economy remains limited. The coupling coordination level between port logistics and the hinterland economy in the Beijing-Tianjin-Hebei Region is still in a stage of mild imbalance, with uneven development within each port cluster, indicating that further potential needs to be unlocked. It is recommended to enhance the coordination between port logistics and the hinterland economy by optimizing port functional layouts, aligning with hinterland industries, deepening port collaboration mechanisms, and improving infrastructure construction, thereby promoting high-quality and sustainable regional economic development.