algorithms

简明释义

英[ˈælɡərɪðəmz]美[ˈælɡərɪðəmz]

n. 算法；算法式（algorithm 的复数）

英英释义

单词用法

同义词

反义词

例句

1.Firstly there are the fundamental graphic algorithms to grasp.

首先要掌握一些基础的图形算法。

2.The Israel-based site uses algorithms to compare faces.

这家以色列网站利用计算程式对比脸部特徵。

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

许多机器人都配备了高科技传感器和复杂的学习算法，避免在与人类一起工作时伤害到人类。

4.Remote sensors enable algorithms to interpret a field's environment as statistical data that can be understood and useful to farmers for decision-making.

遥感让算法把统计数据以一种能够理解的方式向农民解释田间环境，有助他们做出决策。

5.The pros and cons of different load balancing algorithms.

各种负载平衡算法的优缺点。

6.I was hoping to say "journalist", but researchers are already developing algorithms that can gather facts and write a news story.

我本想说“记者”，但研究人员已经在开发能够收集事实并撰写新闻报道的算法。

7.Has powerful, accurate, and efficient search algorithms.

拥有强大、准确、有效的搜索算法。

8.These algorithms are used for digital signature applications.

这些算法用于数字签名应用程序。

9.Recommendation systems use algorithms to suggest products based on user behavior.

推荐系统使用算法根据用户行为建议产品。

10.Machine learning models are built on various algorithms that learn from data.

机器学习模型是基于从数据中学习的各种算法构建的。

11.Search engines use complex algorithms to rank web pages based on relevance.

搜索引擎使用复杂的算法来根据相关性对网页进行排名。

12.Financial institutions rely on algorithms for high-frequency trading to maximize profits.

金融机构依赖于算法进行高频交易以最大化利润。

13.Social media platforms employ algorithms to determine which posts appear on your feed.

社交媒体平台采用算法来决定哪些帖子出现在你的动态中。

作文

In today's digital age, the term algorithms（算法） has become increasingly prevalent, permeating various aspects of our daily lives. From social media feeds to online shopping recommendations, algorithms（算法） play a crucial role in shaping the way we interact with technology. Understanding what algorithms（算法） are and how they function is essential for anyone looking to navigate this modern landscape effectively.At its core, an algorithm（算法） is a set of rules or instructions designed to solve a specific problem or perform a task. These instructions can be simple or complex, depending on the nature of the problem being addressed. For example, when you search for a video on a streaming platform, an algorithm（算法） analyzes your previous viewing habits, preferences, and popular trends to provide you with personalized recommendations. This process not only enhances user experience but also keeps viewers engaged, leading to longer watch times and increased satisfaction.Moreover, algorithms（算法） are not limited to entertainment; they are also integral to various industries, including finance, healthcare, and transportation. In finance, algorithms（算法） are used for high-frequency trading, where they execute trades at lightning speed based on real-time market data. In healthcare, algorithms（算法） analyze patient data to predict potential health risks, enabling early intervention and personalized treatment plans. Similarly, in transportation, algorithms（算法） optimize routes for delivery services, ensuring that goods arrive at their destinations in the most efficient manner possible.The impact of algorithms（算法） extends beyond mere convenience; they also raise important ethical questions. As these computational processes become more sophisticated, concerns about privacy, bias, and accountability have emerged. For instance, if an algorithm（算法） used in hiring practices is biased against certain demographic groups, it could perpetuate inequality in the workplace. Therefore, it is vital for developers and organizations to prioritize fairness and transparency when creating and implementing algorithms（算法）.Another fascinating aspect of algorithms（算法） is their ability to learn and adapt over time, particularly in the realm of artificial intelligence (AI). Machine learning, a subset of AI, relies heavily on algorithms（算法） to analyze vast amounts of data and improve their accuracy and performance. For example, image recognition software uses algorithms（算法） to identify patterns in images, allowing it to recognize faces, objects, and even emotions. This capability has numerous applications, from security systems to customer service chatbots.As we continue to advance technologically, the importance of understanding algorithms（算法） cannot be overstated. They are the backbone of many systems we rely on daily, and having a basic grasp of how they work can empower individuals to make informed decisions about the technology they use. Furthermore, as society grapples with the implications of algorithms（算法） in areas such as privacy and ethics, fostering a dialogue around their development and application is crucial.In conclusion, algorithms（算法） are an integral part of our modern world, influencing everything from our online experiences to critical societal functions. By understanding their mechanics and implications, we can better navigate the complexities of the digital age. As technology continues to evolve, so too will the algorithms（算法） that drive it, making ongoing education and awareness essential for everyone. Embracing this knowledge will not only enhance our personal interactions with technology but also contribute to a more equitable and informed society.

在当今数字时代，术语algorithms（算法）变得越来越普遍，渗透到我们日常生活的各个方面。从社交媒体动态到在线购物推荐，algorithms（算法）在塑造我们与技术互动的方式中发挥着至关重要的作用。理解algorithms（算法）是什么以及它们如何运作，对于任何希望有效应对这一现代环境的人来说都是必不可少的。从本质上讲，algorithm（算法）是一组规则或指令，旨在解决特定问题或执行任务。这些指令可以简单也可以复杂，具体取决于所解决问题的性质。例如，当您在流媒体平台上搜索视频时，algorithms（算法）会分析您之前的观看习惯、偏好和热门趋势，以为您提供个性化推荐。这个过程不仅增强了用户体验，还使观众保持参与，从而导致更长的观看时间和更高的满意度。此外，algorithms（算法）并不限于娱乐；它们在金融、医疗保健和交通等各个行业中也是不可或缺的。在金融领域，algorithms（算法）用于高频交易，它们根据实时市场数据以闪电般的速度执行交易。在医疗保健中，algorithms（算法）分析患者数据以预测潜在健康风险，从而实现早期干预和个性化治疗方案。同样，在交通运输中，algorithms（算法）优化送货服务的路线，确保货物以最有效的方式抵达目的地。algorithms（算法）的影响不仅限于便利性；它们还引发了一些重要的伦理问题。随着这些计算过程变得越来越复杂，隐私、偏见和问责制等问题也随之浮现。例如，如果在招聘实践中使用的algorithm（算法）对某些人口群体存在偏见，那么它可能会加剧职场的不平等。因此，开发者和组织在创建和实施algorithms（算法）时，优先考虑公平性和透明性是至关重要的。algorithms（算法）的另一个迷人之处在于它们能够随着时间的推移学习和适应，特别是在人工智能（AI）领域。机器学习作为人工智能的一个子集，极大依赖于algorithms（算法）来分析大量数据并提高其准确性和性能。例如，图像识别软件使用algorithms（算法）识别图像中的模式，使其能够识别面孔、物体甚至情感。这种能力有许多应用，从安全系统到客户服务聊天机器人。随着我们继续推进技术，理解algorithms（算法）的重要性不容小觑。它们是我们每天依赖的许多系统的支柱，掌握它们的基本原理可以使个人在使用技术时做出明智的决定。此外，随着社会在隐私和伦理等领域与algorithms（算法）所带来的影响进行斗争，围绕其发展和应用开展对话至关重要。总之，algorithms（算法）是我们现代世界的重要组成部分，影响着从我们的在线体验到关键社会功能的一切。通过理解它们的机制和影响，我们可以更好地驾驭数字时代的复杂性。随着技术的不断发展，推动它的algorithms（算法）也将不断演变，因此持续的教育和意识对于每个人来说都是必不可少的。拥抱这种知识不仅会增强我们与技术的个人互动，还将有助于建立一个更加公平和知情的社会。