Core Points - The 2025 election results for academicians of the Chinese Academy of Sciences and the Chinese Academy of Engineering have been officially announced, with a total of 144 new academicians elected: 73 from the Chinese Academy of Sciences and 71 from the Chinese Academy of Engineering [1][43]. - Additionally, 27 foreign academicians were added to the Chinese Academy of Sciences and 24 to the Chinese Academy of Engineering [2]. Group 1: New Academicians - Notable election includes Professor Zhou Zhihua from Nanjing University, who specializes in artificial intelligence and machine learning [3][7]. - Zhou Zhihua, born in 1973, has a strong academic background, having obtained his bachelor's, master's, and doctoral degrees from Nanjing University between 1996 and 2000 [5][6]. - He has held various academic positions, including being appointed as a professor in 2003 and later as a doctoral supervisor in 2004 [9][10]. Group 2: Achievements and Contributions - Zhou Zhihua has received significant recognition in the AI field, including being elected as a fellow of several prestigious organizations and serving as the president of the IJCAI council in 2023 [12][18][22]. - His research impact is notable, with over 110,000 citations and an h-index of 133, indicating a high level of influence in his field [23][25]. - His book "Machine Learning" (often referred to as the "Watermelon Book") is widely used as a textbook in over 500 institutions globally [26][27]. Group 3: Total Academicians - Following this election, the total number of academicians in the Chinese Academy of Sciences reaches 908, with 173 foreign academicians, while the Chinese Academy of Engineering now has 1002 academicians, including 148 foreign academicians [57].

Core Insights - Stanford University and Elsevier jointly released the "Stanford 2025 Global Top 2% Scientists List," highlighting the significant achievements of Chinese scholars, with Tsinghua University ranking fourth globally with 746 scholars included [1][2][3]. Summary by Categories Overall Rankings - A total of 1,435 individuals from China made it to the lifetime "Stanford 2025 Global Top 2% Scientists List," while 2,270 were included in the annual list [2]. - Tsinghua University is ranked fourth globally, just behind the University of Oxford and ahead of Stanford University, with 746 scholars recognized [3][5]. Notable Individuals - Zhou Zhihua from Nanjing University and Zhang Zhengyou from Tencent both entered the global top 1,000, ranked 526 and 969 respectively [5][6]. - Zhou Zhihua is noted for his contributions to artificial intelligence and machine learning, with over 100,000 citations on Google Scholar [9]. - Zhang Zhengyou, a prominent figure in computer vision and robotics, has over 80,000 citations and is recognized for his innovative contributions in the field [12][14]. Methodology of Ranking - The list identifies the top 2% of scientists based on standardized citation metrics across 22 scientific fields and 174 subfields, ensuring a fair representation of research impact [20]. - The composite score (c-score) used for ranking considers multiple citation metrics, emphasizing meaningful impact rather than mere productivity [20].

Core Viewpoint - Xiangcai Co., Ltd. reported a total operating revenue of 1.144 billion yuan for the first half of 2025, reflecting a year-on-year growth of 4.63% and a net profit attributable to shareholders [1] Business Performance - The securities business, as the core segment of Xiangcai Co., Ltd., performed well, with its wholly-owned subsidiary, Xiangcai Securities, achieving an operating revenue of 792 million yuan, a year-on-year increase of 9.29% [1] - Brokerage business revenue reached 445 million yuan, showing a year-on-year growth [1] Strategic Focus - The company aims to create a competitive advantage in wealth management by integrating brokerage, credit business, and financial technology, including AI advisory services, leading to significant performance growth in the first half of the year [1] - In investment banking, the company focuses on regional development, emphasizing a customer-centric approach [1] Operational Efficiency - The company continues to prioritize cost reduction and efficiency improvement in its industrial segment, optimizing asset management through adjustments in personnel structure, product offerings, and operational models [1] - Xiangcai Co., Ltd. has actively reduced trade scale to enhance the competitiveness of its existing assets [1] Technological Advancements - The company is strategically investing in artificial intelligence, data mining, and next-generation information technology to build a financial technology ecosystem, which supports the digital transformation of Xiangcai Securities [1] Mergers and Acquisitions - In March, Xiangcai Co., Ltd. announced a plan to issue A-shares to all shareholders of Dazhihui as part of a stock swap merger, aiming to integrate Dazhihui's product, technology, and traffic advantages with Xiangcai Securities' licenses, operational capabilities, and network layout [1] Future Outlook - The company plans to continue focusing on its securities business, promoting digital transformation and technological empowerment, while enhancing collaboration with strategic partners like Dazhihui to optimize service structure and improve comprehensive financial service capabilities [1]

Group 1 - Business analysis (BA) and business intelligence (BI) serve different purposes within organizations, with BA focusing on predicting future trends and BI concentrating on analyzing historical data [1][2] - BA aims to identify growth opportunities, optimize business processes, and enhance efficiency through predictive analytics [7][9][10] - BI's primary goals include historical data analysis, reporting, and data visualization to provide insights into past performance [12][14][15] Group 2 - The key components of BA include predictive models, machine learning algorithms, and data mining techniques, which help in forecasting future trends [20][23][45] - BI relies on dashboards, scorecards, and data warehouses to present historical performance data and facilitate decision-making [46][48][52] Group 3 - Both BA and BI utilize similar tools for data collection, integration, and preparation, such as SQL, Python, and R, but differ in their analytical approaches [55][58] - BA employs statistical analysis and predictive modeling tools, while BI focuses on reporting and visualization tools [55][62] Group 4 - BA and BI complement each other by improving data usage and decision-making within organizations, with BI providing a foundation for BA to build upon [63][65] - The integration of BA and BI enhances operational efficiency and strategic planning, allowing organizations to be proactive rather than reactive [66][67] Group 5 - The main distinction between BA and BI lies in their perspective: BA is future-oriented and predictive, while BI is past-oriented and descriptive [68]

Core Viewpoint - The article highlights the journey of Zhou Xiao, a young female academic in artificial intelligence, emphasizing her unique path from architecture to computer science and her commitment to using data-driven methods to improve urban development and social issues [7][36]. Group 1: Background and Education - Zhou Xiao, a "post-90s" girl, is an assistant professor at Renmin University and the only female faculty member in the Gaoling Artificial Intelligence Institute [4][34]. - Initially studying architecture, she later transitioned to land economics at Cambridge University, where she sought to integrate technology and data into her work [5][15]. - In 2015, she decided to switch to computer science, despite having no prior coding experience, driven by a desire to use data to support urban planning [6][12]. Group 2: Research Focus and Achievements - Zhou's research focuses on the intersection of big data and urban development, particularly how cultural investments can drive economic growth in underdeveloped areas [24][28]. - Her first significant research paper, which examined the economic effects of the London Olympics, was published in a prestigious journal, marking her successful transition into the field of computer science [28][30]. - Between 2017 and 2018, she published three papers on how spatiotemporal big data can aid in understanding urban activities and resource allocation [29]. Group 3: Current Work and Philosophy - At Renmin University, Zhou emphasizes the importance of "AI+" and aims to develop AI solutions that address real-world problems, such as optimizing elderly care facilities in urban areas [41][42]. - She believes that AI's potential lies in its integration with big data and domain-specific knowledge, which can significantly impact various sectors [40]. - Zhou encourages her students to pursue research that is both innovative and applicable, fostering a learning environment that values exploration and personal freedom in academic pursuits [48][49].