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龙虎榜 | 强势晋级5连板!超5亿资金疯抢西藏天路,4机构砸盘昂利康3亿
Ge Long Hui· 2025-07-25 10:36
7月25日,市场震荡走弱,2700只个股下跌,2500多只个股上涨,49只个股涨停,15只个股跌停。 龙虎榜单日净卖出额前三为昂利康、凯撒旅业、中化岩土,分别为2.86元、2.68亿元、2.14亿元。 | 序号 | 市场 V | 代码 名称 | | 录日涨幅 | 当日价格 | 换手率 | 美颜 | 净买入 = | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 1 | 深 | 002940 昂利康 | | -10.00% | 57.59 | 11.26% | 13.37亿 | -2.86亿 | | 2 | 深 | 000796 凯撒旋业 | | 4.05% | 5.39 | 36.19% | 27.06亿 | -2.681Z- | | 3 | 深 | 002542 中化岩土 | | -9.98% | 4.51 | 25.92% | 21.74亿 | -2.14Z | | 4 | இ | 300189 神农种业 | | -9.69% | 4.94 | 39.57% | 17.63亿 | -1.71亿 | | 5 | 治 | 600801 华新水 ...
因赛集团(300781) - 300781因赛集团投资者关系管理信息20250724
2025-07-24 08:00
证券代码:300781 证券简称:因赛集团 广东因赛品牌营销集团股份有限公司 投资者关系活动记录表 编号:2025-001 | | ☑特定对象调研□分析师会议 | | | | | | | --- | --- | --- | --- | --- | --- | --- | | 投资者关系活动 | □媒体采访□业绩说明会 | | | | | | | 类别 | □新闻发布会□路演活动 | | | | | | | | □现场参观☑其他(线上会议) | | | | | | | | 家机构,共计 42 45 | | | | 人,具体名单如下(排名不分先后): | | | | 红杉资本 | | 闫慧辰 | 平安基金 | | 姚铁睿 | | | 中国人保 朱杨林、吴若宗 | | | 西部利得基金 | | 张昌平、吴畏 | | | 汇丰晋信基金 豆怡凡 | | | 泰康资产 | | 周梦蝶 | | | 宝盈基金 | | 李欣 | 东兴基金 | | 周昊 | | | 长江养老保险 蔡杭霖 | | | 新华基金赵强 | | | | | 博道基金 | | 刘俊 | 同泰基金 | | 董万江 | | | 富安达基金 | | 朱义 | ...
传媒互联网行业周报:KimiK2发布且开源,重视AI应用多方向产业进度-20250721
Hua Yuan Zheng Quan· 2025-07-21 02:40
证券研究报告 传媒 行业定期报告 hyzqdatemark 2025 年 07 月 21 日 证券分析师 陈良栋 SAC:S1350524100003 chenliangdong@huayuanstock.com 陈逸凡 SAC:S1350525040003 chenyifan@huayuanstock.com 周政宇 SAC:S1350525050006 zhouzhengyu@huayuanstock.com 魏桢 weizhen@huayuanstock.com Kimi K2 发布且开源,重视 AI 应用多方向产业进度 投资评级: 看好(维持) ——传媒互联网行业周报(2025.7.14-2025.7.20) 投资要点: 本周观点:Kimi K2 正式发布且开源,国产大模型不断迭新,实现大模型底层能力的 突破,将有望持续推动国产大模型和 AI 应用侧的跨越式发展,我们建议重视底层大 模型突破带来的 AI 应用侧的变化,关注 AI+游戏、教育、视频、电商、玩具、营销 等方向的产业进度。 联系人 板块表现: Kimi K2 正式发布且开源,其为 MoE 架构基础模型,总参数 1T,激活参数 32B, 根据 ...
最前线 | 智驾普及下,爱芯元智推出全球产品,黑芝麻2000大算力芯片亮相
3 6 Ke· 2025-04-27 04:56
Core Insights - The chip industry is witnessing two major trends: increased computing power and integration, as demonstrated by new products from Aisin YuanZhi and HezhiMa Intelligent [1] Group 1: Aisin YuanZhi's M57 Series - Aisin YuanZhi launched the M57 series of automotive chips, which boasts a computing power of 10 TOPS and supports mixed precision and BEV algorithms [1] - The M57 chip has a power consumption of no more than 3.5W even at a junction temperature of 125 degrees Celsius, making it suitable for both traditional and energy-efficient electric vehicles [1] - The self-developed image processing technology, Aisin ZhiMou AI-ISP, generates high-definition images under extreme lighting conditions, enhancing decision-making for in-vehicle systems [1] - The integrated MCU with a safety island achieves ASIL-B and ASIL-D level functional safety, ensuring that the advanced driver-assistance systems (ADAS) do not cause accidents due to individual function failures [1] Group 2: HezhiMa's Huashan A2000 Family - HezhiMa's Huashan A2000 family of chips, built on a 7nm automotive-grade process, claims to have computing power up to four times that of current mainstream flagship chips [2] - The Huashan A2000 family includes three products: A2000 Lite for urban assisted driving, A2000 for general assisted driving, and A2000 Pro for high-level general assisted driving [2] - The Huashan A2000 chips feature a self-developed "JiuSha" NPU architecture that supports Transformer hardware acceleration and mixed precision operations (FP8/FP16), enhancing multi-task parallel processing efficiency [3] - The architecture includes a priority preemption mechanism to ensure sufficient computing resources for high-priority tasks, improving safety in complex driving scenarios [3] Group 3: Wudang Series and Safety Technologies - HezhiMa also introduced the Wudang series of chips, which is the industry's first cross-domain integrated computing chip, enhancing vehicle safety by ensuring independent operation of key systems [3] - The Wudang C1296 chip, also showcased, integrates smart cockpit, ADAS, and vehicle body control domains, allowing real-time data communication among them [4] - This solution is already being implemented in multiple new models from Dongfeng and is expected to achieve mass production by 2025 [4]