六级Algorithms that were right 95% of the time when they were dealing with a 13,000-image database, for example, were accurate about 70% of the time when confronted with 1 million images.

例如，在处理13000个图像数据库时，95%正确的算法在处理100万个图像时，准确率约为70%。

2018年6月六级真题（第一套）阅读 Section C

六级"Once we scale up, algorithms must be sensitive to tiny changes in identities and at the same time invariant to lighting, pose, age," Kemelmacher-Shlizerman said.

Kemelmacher Shlizerman说：“一旦我们扩大规模，算法必须对身份的微小变化敏感，同时对光线、姿势、年龄保持不变。”。

2018年6月六级真题（第一套）阅读 Section C

六级During the trials, the robot algorithms (算法) and mechanics will be fine-tuned to make it better suited to ailing livestock and ensure it safely navigates around potential hazards including trees, mud, swamps, and hills.

在试验过程中，机器人的算法(算法) 此外，还将对机械装置进行微调，使其更适合生病的牲畜，并确保其在树木、泥土、沼泽和山丘等潜在危险周围安全航行。

2018年12月六级真题（第三套）阅读 Section C

六级Many robots are equipped with high-tech sensors and complex learning algorithms to avoid injuring humans as they work side by side.

许多机器人配备了高科技传感器和复杂的学习算法，以避免在并肩工作时伤害人类。

2018年12月六级真题（第三套）阅读 Section C

六级To begin to figure out how computers are struggling, researchers at the University of Washington created a massive database of faces—they call it MegaFace—and tested a variety of facial-recognition algorithms as they scaled up in complexity.

为了弄清楚计算机是如何挣扎的，华盛顿大学的研究人员创建了一个庞大的人脸数据库，他们称之为MegaFace，并在复杂程度上进行了各种面部识别算法的测试。

2018年6月六级真题（第一套）阅读 Section C

考研It is not enough to say that the algorithms DeepMind develops will benefit patients and save lives.

仅仅说DeepMind开发的算法将使患者受益并挽救生命是不够的。

2018年考研阅读原文

考研It is not enough to say that the algorithms Deep mind develops will benefit patients and save lives.

仅仅说Deep mind开发的算法将有益于患者并拯救生命是不够的。

2018年考研真题（英语一）阅读理解 Section Ⅱ

六级"An ultimate face recognition algorithm should perform with billions of people in a dataset," the researchers wrote.

研究人员写道：“最终的人脸识别算法应该在一个数据集中对数十亿人执行。”。

2018年6月六级真题（第一套）阅读 Section C

六级To begin to figure out how computers are struggling, researchers at the University of Washington created a massive database of faces- they call it MegaFace- and tested a variety of facial-recognition algorithms (算法) as they scaled up in complexity.

开始弄清楚如何

2018 年 6 月6级真题第2套

六级No computer is yet able to handle huge datasets of human faces There do not exist public databases with sufficient face sampler There are no appropriate algorithms to process the face samples They have trouble converting face datasets into the right format.

目前还没有一台计算机能够处理巨大的人脸数据集

2018 年 6 月6级真题第2套