computerizable

简明释义

英[ˌkɒmˈpjuːtəraɪzəbl]美[kəmˈpjʊtəˌraɪzəbl]

adj. 可以电脑处理的

英英释义

单词用法

同义词

反义词

例句

1.The most responsibility and the contribution to the failure probability for each component are determined and this short-run calculation will be easily computerizable.

本方法主要特点是计算工作量少，易于在计算机上实现，能在可靠性计算中反映各组分的最大负荷量和故障概率的影响。

2.The most responsibility and the contribution to the failure probability for each component are determined and this short-run calculation will be easily computerizable.

本方法主要特点是计算工作量少，易于在计算机上实现，能在可靠性计算中反映各组分的最大负荷量和故障概率的影响。

3.With advancements in AI, more processes are becoming computerizable each day.

随着人工智能的进步，越来越多的过程每天都在变得可计算机化。

4.The company aims to convert all its operations into computerizable formats.

该公司旨在将其所有操作转换为可计算机化格式。

5.The research team focused on making their findings computerizable for easier analysis.

研究小组专注于使他们的发现可计算机化，以便于分析。

6.Many traditional tasks are now computerizable, reducing the need for manual labor.

许多传统任务现在都可以计算机化，减少了对人工劳动的需求。

7.The new software can process data in a way that is fully computerizable.

这款新软件可以以完全可计算机化的方式处理数据。

作文

In today's digital age, the term computerizable (可计算的) has become increasingly relevant as we navigate through a world that is heavily reliant on technology. Essentially, something that is computerizable refers to the ability of data or processes to be converted into a form that can be understood and processed by computers. This concept plays a crucial role in various fields, including data science, artificial intelligence, and software development.One of the primary benefits of having information that is computerizable is the efficiency it brings to data processing. For instance, in the realm of big data, organizations are inundated with massive volumes of information daily. By ensuring that this data is computerizable, businesses can utilize algorithms and machine learning techniques to analyze patterns, make predictions, and inform strategic decisions. Without the capability to convert raw data into a computerizable format, organizations would struggle to harness the power of their information.Moreover, the concept of computerizable extends beyond mere data handling; it also encompasses the automation of processes. For example, in manufacturing, many tasks that were once performed manually are now automated thanks to computerizable systems. Robotics and computer-controlled machinery have revolutionized production lines, leading to increased productivity and reduced human error. As a result, industries can operate more efficiently while also minimizing costs.In education, the computerizable nature of learning materials has transformed how knowledge is disseminated. Online courses, e-books, and interactive learning platforms allow students to access information at their fingertips. This shift not only makes learning more accessible but also enables personalized education experiences. Educators can use data analytics to track student performance and adapt their teaching methods accordingly, creating a more tailored approach to learning.However, the journey towards a fully computerizable world is not without its challenges. One significant concern is the issue of data privacy and security. As more information becomes computerizable, the risk of unauthorized access and data breaches increases. Organizations must implement robust cybersecurity measures to protect sensitive information from malicious attacks. Additionally, ethical considerations arise when dealing with computerizable data, particularly when it comes to personal information. Striking a balance between utilizing data for advancement and respecting individual privacy rights remains a critical challenge.Furthermore, not all information is inherently computerizable. Some forms of knowledge, such as human emotions or cultural nuances, pose difficulties in being quantified and processed by machines. While advancements in natural language processing and sentiment analysis are making strides, there are still limitations to what can be effectively computerizable. This raises important questions about the future of human-computer interaction and the extent to which technology can replicate human understanding.In conclusion, the concept of computerizable (可计算的) is pivotal in our increasingly digital world. It facilitates efficient data processing, automates processes, and enhances educational opportunities. However, it also presents challenges related to privacy, security, and the complexities of human experience. As we continue to innovate and integrate technology into our lives, understanding and embracing the implications of computerizable information will be essential for navigating the future.

在今天的数字时代，术语computerizable（可计算的）变得越来越相关，因为我们在一个高度依赖技术的世界中航行。基本上，computerizable指的是数据或过程能够被转换为计算机可以理解和处理的形式。这一概念在数据科学、人工智能和软件开发等多个领域发挥着至关重要的作用。拥有可computerizable的信息的主要好处之一是它带来的数据处理效率。例如，在大数据领域，组织每天都面临大量信息的涌入。通过确保这些数据是computerizable的，企业可以利用算法和机器学习技术来分析模式、做出预测并制定战略决策。如果没有将原始数据转换为computerizable格式的能力，组织将难以利用其信息的力量。此外，computerizable的概念不仅限于数据处理；它还包括流程的自动化。例如，在制造业中，许多曾经由人工完成的任务现在由于computerizable系统而实现了自动化。机器人和计算机控制的机械革命了生产线，提高了生产率并减少了人为错误。因此，各行业能够更高效地运作，同时也减少了成本。在教育方面，学习材料的computerizable特性改变了知识的传播方式。在线课程、电子书和互动学习平台使学生能够随时随地获取信息。这种转变不仅使学习更加便捷，还实现了个性化的教育体验。教育工作者可以利用数据分析跟踪学生表现，并相应地调整教学方法，从而创造出更具针对性的学习方式。然而，走向完全computerizable的世界之旅并非没有挑战。其中一个重大问题是数据隐私和安全问题。随着越来越多的信息变得computerizable，未经授权访问和数据泄露的风险增加。组织必须实施强有力的网络安全措施，以保护敏感信息免受恶意攻击。此外，处理computerizable数据时，会出现伦理考量，特别是在涉及个人信息时。在利用数据推动进步与尊重个人隐私权之间取得平衡仍然是一个关键挑战。此外，并非所有信息本质上都是computerizable的。一些知识形式，例如人类情感或文化细微差别，在量化和处理时会遇到困难。尽管自然语言处理和情感分析的进展正在取得成就，但在有效地computerizable的方面仍然存在局限性。这引发了关于人机交互未来的重要问题，以及技术在多大程度上可以复制人类理解。总之，computerizable（可计算的）这一概念在我们日益数字化的世界中至关重要。它促进了高效的数据处理，自动化了流程，并增强了教育机会。然而，它也带来了与隐私、安全以及人类经验复杂性相关的挑战。随着我们继续创新并将技术融入生活，理解和接受computerizable信息的影响将是导航未来的关键。