专栏首页technewsworld翻译专栏苹果终于发布了5G iphone……和HomePod迷你

苹果终于发布了5G iphone……和HomePod迷你

苹果周二更新了iPhone产品线,推出了四款新机型,以及缩小版的HomePod智能音箱。

所有新款iphone都以苹果(Apple)速度惊人的A14仿生芯片为核心,支持所有口味的5G无线连接,并由陶瓷保护层保护,在跌落时保护手机免受损坏的能力是之前型号的四倍。

Moor Insights & Strategy高级分析师马克·n·维纳(Mark N. Vena)告诉TechNewsWorld:“对一些人来说,陶瓷盾牌可能听起来微不足道,但当你能将智能手机的跌落测试性能提高4倍时,这就不是一个微不足道的成就。”

不过,这次发布会的大新闻是,苹果终于制造出了支持5G的iphone。

“这标志着iPhone新时代的开始,”苹果首席执行官蒂姆·库克在发布新产品的虚拟网络活动中表示。

他指出,将5G引入iPhone对该产品来说是一个重大时刻。库克宣称:“5G将为下载和上传带来一个新的性能水平,更高质量的视频流,更响应的游戏,实时互动等等。”

“5G网络更先进,延迟更低,网络拥堵更少,所以即使在人口稠密的地区,你也可以获得更高的网络速度,”他继续说道。

“5G甚至有助于保护你的隐私和安全,”库克解释说,“因为你不需要经常连接到未知的、不安全的公共Wi-Fi热点。”

原文:Apple refreshed its iPhone product line Tuesday, introducing four new models, as well as a downsized version of its HomePod smart speaker.

All of the new iPhones are built around Apple's blazing fast A14 Bionic chip, support all flavors of 5G wireless connectivity, and are protected by a Ceramic Shield that protects the phone from damage after a fall four times better than in previous models.

"The Ceramic Shield may sound trivial to some people, but when you can improve the drop test performance of a smartphone by 4x, that's not a trivial achievement," Mark N. Vena, a senior analyst at Moor Insights & Strategy, told TechNewsWorld.

The big news from the event, though, was Apple finally making iPhones that support 5G.

"This marks the start of a new era for iPhone," Apple CEO Tim Cook said at a virtual online event announcing the new products.

Bringing 5G to the iPhone is a huge moment for the product, he noted. "5G will bring a new level of performance for downloads and uploads, higher quality video streaming, more responsive gaming, real time interactivity and so much more," Cook proclaimed.

"5G networks are more advanced with lower latency and less network congestion so you can get higher network speeds even in densely populated areas," he continued.

"And 5G even helps protect your privacy and security," Cook explained, "since you won't need to connect to unknown, unsecured public Wi-Fi hot spots as often."

原文链接:https://www.technewsworld.com/story/86882.html

原文作者:John P. Mello Jr.

我来说两句

0 条评论
登录 后参与评论

相关文章

  • 上下文智慧:用于上下文异常检测的主动集成学习(CS)

    在上下文异常检测(CAD)中,一个对象仅被认为是特定上下文中的异常。大多数现有的CAD方法使用基于用户指定的一组上下文特征的单一上下文。然而,在实践中,识别正确...

    用户8054111
  • NARX结构下离散前馈神经网络的稳定性(CS)

    将前馈神经网络(FFNNs)作为非线性自回归外生(NARX)模型的回归函数的思想,在机器学习应用于非线性系统辨识的早期,已相当流行,由于其结构简单,易于控制设计...

    用户8054111
  • 波斯语用户生成文本内容的挑战:基于机器学习的方法(CS)

    近年来,关于开发从大量用户生成内容中受益并在其之上构建智能预测模型的有效方法的研究论文和研究已经发表。这项研究应用基于机器学习的方法来解决波斯语用户生成文本内容...

    用户8054111
  • 04.卷积神经网络 W1.卷积神经网络(作业:手动/TensorFlow 实现卷积神经网络)

    0 padding 会在图片周围填充 0 元素(下图 p ...

    Michael阿明
  • 限制对比度自适应直方图均衡化算法原理、实现及效果

    一、自适应直方图均衡化(Adaptive histgram equalization/AHE)

    用户1138785
  • Directly applying Bayesian ridge regression直接使用贝叶斯岭回归

    In the Using ridge regression to overcome linear regression's shortfalls recipe,...

    到不了的都叫做远方
  • Convolution_model_Step_by_Step_v2a

    Welcome to Course 4's first assignment! In this assignment, you will implement c...

    列夫托尔斯昊
  • 从Splay到动态优化的新路径

    摘要:考虑在二叉搜索树中执行搜索序列的任务。 在每次搜索之后,允许算法以与执行的重构量成比例的成本任意地重构树。 执行的成本是搜索所花费的时间和使用重组操作优化...

    罗大琦
  • 卷积神经网络 第一周作业 convolution+model+-+Step+by+Step+-+v1

    Welcome to Course 4’s first assignment! In this assignment, you will implement c...

    Steve Wang
  • 人体姿态估计--Learning Feature Pyramids for Human Pose Estimation

    Learning Feature Pyramids for Human Pose Estimation ICCV2017 Torch: https:/...

    用户1148525

扫码关注云+社区

领取腾讯云代金券