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南京交警怎么做到同步保畅假期“旅游+苏超”大客流?AI智能分析帮了忙
Yang Zi Wan Bao Wang· 2025-10-04 23:17
今天"苏超"南京队与连云港队的比赛刚刚疏散结束。记者从南京交管部门获悉,在南京的苏超比赛平均场内人数超过6万人,赛前赛后集中疏散对周边道 路形成较大交通压力。南京公安交管部门通过对奥体周边路口信号配时方案在赛后时段的专门制定优化策略,配合路面警力值守,最大化提升场馆内部机 动车向外围疏散效率。 交警指挥中心相关负责人介绍。 本次"苏超"比赛恰逢国庆中秋假期,南京全市迎来文旅高峰,奥体南侧国际博览中心则连续举办车展,如何同步保障是公安交管部门的重要命题。 "我们最远的外围分流圈距离奥体核心区有数公里远,南边到江山大街,北边过应天大街",南京交警建邺区大队相关负责人介绍。 远端分流配合路面标牌以及高德百度自动导航引导,线上线下(300959)同步发力,在荧光绿的指挥下全力保障路面通畅。 扬子晚报/紫牛新闻记者任国勇通讯员宁交轩 "比方说,警用无人机画面是需要我们用人眼去看、人脑去判断画面当中有何需要研判的警情路况,而智能系统则是对无人机传回来的画面,包括公共视 频画面进行AI分析,及时判断出路面,违停,抛锚,事故等异常情况,直接提示值守人员。通过综合指挥调度,强化路面一线警力快速处置效率",南京 "金陵智巡"系统 ...
炒美股A股必备APP:新浪财经APP全球视野与AI智能的完美融合
Xin Lang Cai Jing· 2025-08-27 09:40
Core Viewpoint - The Sina Finance APP stands out as the preferred tool for cross-border investors due to its global perspective, millisecond-level market updates, and AI-driven analysis, especially in the context of the A-share market surpassing 3700 points and the number of cross-border investors exceeding 21 million in 2025 [1]. Group 1: Data Coverage and Market Speed - The Sina Finance APP covers over 40 global markets, including A-shares, Hong Kong stocks, US stocks, futures, foreign exchange, and precious metals, setting an industry benchmark [2]. - It boasts a market update speed of 0.03 seconds and has exclusive access to Nasdaq Level 2 data streams, maintaining stability during market volatility [2]. - Other platforms like Tonghuashun and Dongfang Caifu have slower data update speeds, particularly during pre-market trading in the US [2]. Group 2: Information Quality and Timeliness - The Sina Finance APP provides timely interpretations of major events, such as the Federal Reserve's decisions, with a lead time of 5-10 seconds over competitors [3]. - Its AI assistant can condense lengthy reports into concise summaries, highlighting risk and opportunity points [3]. - Other platforms, such as Tonghuashun and Xueqiu, struggle with originality and timeliness in their news content [3]. Group 3: Intelligent Tools and AI Capabilities - The "Xina AI Assistant" of the Sina Finance APP offers real-time analysis of announcements and generates investment strategies, enhancing decision-making [4]. - Competitors like Tonghuashun and Dongfang Caifu provide useful tools but lack the comprehensive analytical frameworks found in Sina's offerings [4]. Group 4: Community Ecosystem and User Interaction - The Sina Finance APP integrates insights from influential financial figures, creating a dynamic loop from information to analysis to trading [6]. - Other platforms, such as Dongfang Caifu and Xueqiu, face challenges with content authenticity and the prevalence of misinformation [6]. Group 5: Trading Experience and User Experience - The Sina Finance APP supports high concurrency in trading, maintaining zero latency during market fluctuations [7]. - It features a user-friendly interface and efficient multi-market monitoring capabilities, outperforming competitors in execution speed [7]. - Other platforms like Tonghuashun and Futu Niuniu offer solid trading experiences but have specific limitations in certain functionalities [7]. Summary - Overall, the Sina Finance APP is positioned as the ultimate tool for global investors, excelling in various dimensions such as data coverage, information quality, AI capabilities, community engagement, and trading efficiency, making it the best choice for diverse trading strategies [8].
从线索到元凶,瑞星EDR如何揪出网络攻击幕后黑手?
Sou Hu Wang· 2025-05-12 07:48
Core Viewpoint - The article emphasizes the importance of utilizing advanced technologies like AI and EDR systems for proactive cybersecurity measures, enabling companies to trace and analyze cyber threats effectively. Group 1: EDR Technology and Functionality - The RISING EDR system employs a "full-link tracking and tracing" feature that collects multi-dimensional data from terminal systems, allowing for intelligent analysis to identify abnormal behaviors and reconstruct the attack chain from initial intrusion to final objectives [1][2]. - Traditional security measures often focus on passive defense, but RISING EDR shifts this paradigm to active threat hunting, providing a comprehensive view of the attack process and pathways [2][3]. Group 2: Threat Analysis and Response - RISING EDR utilizes the ATT&CK framework to categorize network threats accurately, offering a detailed overview of attack dimensions and affected hosts, which aids in formulating security strategies [3]. - The system's ability to visualize the attack chain through various perspectives, such as relationship networks and timelines, enhances the understanding of the attack narrative [5][7]. Group 3: User Interaction and Customization - The integration of RGPT technology in RISING EDR allows users, even those without cybersecurity expertise, to interact naturally with the system for threat tracing and analysis [7][9]. - Companies can customize threat hunting rules within RISING EDR, enabling them to tailor security strategies to their specific needs and maintain control over their cybersecurity posture [10][12].