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最新价涨跌额涨跌幅成交量成交额今开昨收最高最低总市值流通市值总股本流通股本5日涨跌幅10日涨跌幅20日涨跌幅60日涨跌幅120日涨跌幅250日涨跌幅年初至今涨跌幅股息率TTM换手率市盈率TTM市盈率(静)振幅所属行业
美股市场个股详情
WIMI 微美全息
- 0.9497
- -0.0102-1.06%
收盘价 05/06 16:00 (美东)
- 0.9576
- +0.0079+0.83%
盘前 08:00 (美东)
9326.82万总市值-1419市盈率TTM
0.9970最高价0.9120最低价20.79万股成交量0.9800今开0.9599昨收19.64万成交额0.32%换手率亏损市盈率(静)9820.80万总股本1.870052周最高0.89市净率6203.39万流通值0.560052周最低--股息TTM6531.95万流通股29.5000历史最高--股息率TTM8.86%振幅0.5600历史最低0.9440平均价1股每手
盘前分时
- 5日
- 日K
- 周K
- 月K
- 季K
- 年K
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单位: --
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新闻
WiMi宣布已开发出一种基于Swin-Transformer和Hash的链上版权检测技术，提高了版权检测的效率和准确性，还通过区块链技术为版权保护提供了新的解决方案
全球领先的全息增强现实（“AR”）技术提供商WiMi Hologram Cloud Inc.（纳斯达克股票代码：WIMI）（“WiMi” 或 “公司”）今天宣布，它开发了一种自旋变压器和哈希变压器
元宇宙开启多维想象新纪元，微美全息（WIMI.US）瞄准AI+大模型发力助推产业稳健前行
腾讯3D渲染AI模型InstantMesh 惊艳亮相，微美全息加快垂直应用赋能AI迭代创新
WiMi正在开发区块链协作混合共识算法，以优化区块链的性能和安全性
全球领先的全息增强现实（“AR”）技术提供商WiMi Hologram Cloud Inc.（纳斯达克股票代码：WIMI）（“WiMi” 或 “公司”）今天宣布正在合作研究区块链
WiMi Hologram Cloud Inc.（纳斯达克股票代码：WIMI）的散户投资者是其最大的博彩玩家，上周股价上涨48％，他们的赌注得到了回报
京东AI数字人首播引发热潮，微美全息（WIMI.US）加速推进数字人多元化应用
4月16日晚，京东(JD.US)创始人刘强东以AI数字人的形式空降“京东超市采销直播间”“京东家电家居采销”直播间，开启直播首秀，不到1小时，直播间观看量超2000万。京东称，本次数字人直播采用了京东言犀AI技术，这也将并不高调的京东人工智能研究院置于聚光等下。京东官方介绍，以AI技术驱动，从文字、语音到多模态交互，从对话智能到情感智能，聚焦体验、效率与转化，面向不同行业和客户场景助力企业服务和营
评论
$微美全息(WIMI.US$
The core idea of ELM is to initialize the connection weights between the input layer to the hidden layer randomly. Then through parsing, the connection weights between the output layer to the hidden layer are quickly calculated, and a simple and efficient neural network model is constructed by randomly generating the input weights and the bias of the hidden layer neurons.
Compared with traditional neural network algorithms, ELM is characterized by fast training ...
The core idea of ELM is to initialize the connection weights between the input layer to the hidden layer randomly. Then through parsing, the connection weights between the output layer to the hidden layer are quickly calculated, and a simple and efficient neural network model is constructed by randomly generating the input weights and the bias of the hidden layer neurons.
Compared with traditional neural network algorithms, ELM is characterized by fast training ...
$微美全息(WIMI.US$
The annual 2024 ZOL Forum annual conference was held in Beijing from April 25 to 29. Since its establishment, ZOL Forum has been a national-level platform for global science and technology innovation exchange and cooperation. “Science and Technology Conference” has been the concept that the Forum has always adhered to, and is also one of the highlights of ZOL Forum.
The coo...
The annual 2024 ZOL Forum annual conference was held in Beijing from April 25 to 29. Since its establishment, ZOL Forum has been a national-level platform for global science and technology innovation exchange and cooperation. “Science and Technology Conference” has been the concept that the Forum has always adhered to, and is also one of the highlights of ZOL Forum.
The coo...
1
$微美全息(WIMI.US$
NEWS
WiMi Developed a Swin-Transformer and Hash-based On-Chain Copyright Detection Technology
NEWS
WiMi Developed a Swin-Transformer and Hash-based On-Chain Copyright Detection Technology
1
$微美全息(WIMI.US$
WiMi took DCNN as the base model for image recognition. By training on a large amount of well-labeled image data, the network is allowed to learn the feature representations of different objects and accurately locate and recognize these objects in the input image. In order to accommodate the processing of dynamic images, WiMi adapted the network appropriately for information transfer and tracking between successive frames. Then, the recognized objects are combine...
WiMi took DCNN as the base model for image recognition. By training on a large amount of well-labeled image data, the network is allowed to learn the feature representations of different objects and accurately locate and recognize these objects in the input image. In order to accommodate the processing of dynamic images, WiMi adapted the network appropriately for information transfer and tracking between successive frames. Then, the recognized objects are combine...
1
$微软(MSFT.US$ Dynamics 365 Remote Assist’s powerful see-what-I-see ” feature allows users to call experts, share views, and annotate them in space. Using this feature is as simple as attending a Teams meeting or making a phone call, using a front-facing camera where users can share their views with remote participants for real-time collaboration.
Strengthen mixed-reality collaboration
Rememb...
Strengthen mixed-reality collaboration
Rememb...
1
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