...
首页> 外文期刊>MSDN Magazine >Machine Learning on the Edge: Azure ML and Azure loT Edge Integration
【24h】

Machine Learning on the Edge: Azure ML and Azure loT Edge Integration

机译:边缘上的机器学习:Azure ML和Azure loT Edge集成

获取原文
获取原文并翻译 | 示例
           

摘要

The edge is defined as any compute platform that isn't the cloud. It could range from Azure Stack (a cluster of machines that serves as mini-Azure), to a powerful gateway server, to a smaller device such as a Raspberry Pi or sensor. Even refrigerators and other appliances have enough processing power nowadays to be considered edge devices. The challenge is how to apply artificial intelligence (AI) and machine learning (ML) to data that cant make it to the cloud, whether that's due to data sovereignty, privacy, bandwidth or other issues.
机译:边缘被定义为不是云的任何计算平台。它的范围可能从Azure Stack(充当小型Azure的机器集群)到功能强大的网关服务器,再到较小的设备(如Raspberry Pi或传感器)。如今,即使是冰箱和其他电器也具有足够的处理能力,可以视为边缘设备。挑战在于如何将人工智能(AI)和机器学习(ML)应用于无法将其存储到云中的数据,而这是由于数据主权,隐私,带宽或其他问题所致。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号