What is the translation of " 谷歌研究人员 " in English?

• google researchers
• google researcher

Examples of using 谷歌研究人员 in Chinese and their translations into English

谷歌研究人员表示，科技行业助长了“关注危机”.
Google researchers say tech industry has fueled'attention crisis'.

谷歌研究人员表示，科技行业助长了“关注危机”.
Google researchers say the tech industry has contributed to an‘attention crisis'.

谷歌研究人员在NPJ数字医学杂志上发表了预测深度学习模型的结果。
Google researchers also published the results of work with predictive deep learning models in their journal NPJ Digital Medicine.

另一位谷歌研究人员说，现有的模型忽略了一些重要的医学事件，包括病人是否做过手术。
Another Google researcher said that existing models overlook obvious medical events, even if a patient had prior surgery.

但是谷歌研究人员已经公布了一个项目的细节，可以让笔记本电脑或智能手机随着时间的推移学会更好.
But Google researchers have published details of a project that could let a laptop or smartphone learn to do things better and faster over time.

另外一名谷歌研究人员称，目前的模式忽视了明显的医疗活动，其中包括患者以前是否进行过手术。
Another Google researcher said existing models miss obvious medical events, including whether a patient had prior surgery.

为了克服这些缺点，谷歌研究人员开发了一种机器学习模型，并与哈佛大学合作在芝加哥和拉斯维加斯进行测试。
To address these shortcomings, Google researchers developed the machine learning model and worked with Harvard to test in Chicago and Las Vegas.

另外一名谷歌研究人员称，目前的模式忽视了明显的医疗活动，其中包括患者以前是否进行过手术。
Another Google researcher said that existing models overlook obvious medical events, even if a patient had prior surgery.

谷歌研究人员表示，他们希望看到更多针对当前患者的研究，而非基于回顾性的历史数据。
The Google researchers say they would like to see more research done not on retrospective, historical data, but with current patients.

为了克服这些缺点，谷歌研究人员开发了一种机器学习模型，并与哈佛大学合作在芝加哥和拉斯维加斯进行测试。
To counter these shortcomings, Google researchers developed a machine-learned model and worked with Harvard to test it in Chicago and Las Vegas.

读《数据的不合理有效性》-谷歌研究人员AlonHalevy、PeterNorvig和FernandoPereira的一篇经典文章。
Read“The Unreasonable Effectiveness of Data”- a classic essay by Google researchers Alon Halevy, Peter Norvig, and Fernando Pereira.

谷歌研究人员开发了一种深度学习系统，可以帮助电脑在嘈杂环境中更好地识别和区分一个人的声音。
Google researchers have developed a deep-learning system designed to help computers better identify and isolate individual voices within a noisy environment.

将声学数据转换为频谱图后，谷歌研究人员使用ResNet-50框架来训练模型。
After converting audio data to spectrograms, Google researchers used a ResNet-50architecture for training the model.

这为谷歌研究人员提供了传统汽车制造商无法直接获得的额外专业知识。
This provides Google researchers additional expertise not available directly to traditional OEMs.

在2008年，谷歌研究人员决定根据用户的网络搜索实时测量流感活动。
In 2008, Google researchers decided to measure flu activity, in real time, based on users' Web searches.

谷歌研究人员透露，公司目前并没有将这项试验投入商用的明确计划。
The Google researchers said the company did not yet have a clear plan to create a business from the experiments.

尽管取得了成功，但谷歌研究人员仍对他们是否已经掌握机器自学技术的要领保持谨慎。
Despite their success, the Google researchers remained cautious about whether they had hit upon the holy grail of machines that can teach themselves.

该速成课程包括25节课程，超过40多项练习，大量来自谷歌研究人员的讲座，以及真实世界的案例学习。
The crash course includes 25 lessons, more than 40 exercises and a variety of lectures from Google researchers and real-world case studies.

虽然在2016年自然杂志是庆祝谷歌研究人员开发的九量子位计算机。
In June 2016, for example, Nature magazine celebrated a nine qubits computer developed by Google researchers.

谷歌研究人员表示，“据我们所知，这个实验标志着第一个只能在量子计算机进行的任务出现了。
As stated by Google Researchers,“To our knowledge, this experiment marks the first computation that can only be performed on a quantum processor.”.

虽然在2016年自然杂志是庆祝谷歌研究人员开发的九量子位计算机。
While in 2016 Nature magazine was celebrating a nine qubit computer developed by Google researchers.

FaceNet是谷歌研究人员于2015年开发的人脸识别系统，该系统在一系列人脸识别基准数据集上取得了当时最先进的成果。
FaceNet is a face recognition system developed in 2015 by researchers at Google that achieved then state-of-the-art results on a range of face recognition benchmark datasets.

由谷歌研究人员开发的这种令人兴奋的新型机器学习方法中，两个神经络彼此对抗;
In this exciting new machine-learning approach, developed by a Google researcher, two neural networks are pitted against one another;

谷歌研究人员在对该安全漏洞进行的技术分析中解释说，虽然该漏洞已得到解决，但还需要采取其他缓解措施，以防止出现类似的问题。
In a technical vulnerability analysis, Google researchers explained that, although it has been addressed, further mitigation measures are needed to prevent similar security issues.

谷歌研究人员塞尔吉奥·博伊克（SergioBoixo）在邮件中写到，他欢迎这样的研究，但对研究结果抱有“很多疑问”。
In an email, Google researcher Sergio Boixo told WIRED that he welcomes such research, but there are“a number of questions” about the paper's results.

尽管这项工作几乎没有任何实际应用，但谷歌研究人员表示，“这种计算能力的其他最初用途”包括机器学习、材料科学和化学。
Though that job has little practical application, Google researchers said that“other initial uses for this computational capability” included machine learning, material science, and chemistry.

谷歌研究人员说，Safari的智能跟踪预防系统将个人数据暴露出来，因为它“隐含地存储了用户访问的网站信息”。
Google researchers say that Safari left personal data exposed because the Intelligent Tracking Prevention List“implicitly stores information about the websites visited by the user.”.

正如谷歌研究人员所称的那样，“多功能模型”接受了各种各样的任务训练，包括翻译、语言解析、语音识别、图像识别和目标检测。
As Google researchers call, the“multifunctional model” accepts a variety of task training, including translation, language analysis, speech recognition, image recognition and target detection.