computing technique

简明释义

计算技术

英英释义

例句

1.This computing technique (计算技术) allows for real-time data analytics in financial markets.

这种计算技术（计算技术）允许在金融市场进行实时数据分析。

2.The new software utilizes a cutting-edge computing technique (计算技术) to enhance data processing speed.

这款新软件利用一种尖端的计算技术（计算技术）来提高数据处理速度。

3.Researchers are exploring a novel computing technique (计算技术) for simulating complex biological systems.

研究人员正在探索一种新颖的计算技术（计算技术）用于模拟复杂的生物系统。

4.The cloud-based computing technique (计算技术) provides scalable resources for startups.

基于云的计算技术（计算技术）为初创企业提供可扩展的资源。

5.Our team implemented a machine learning computing technique (计算技术) to improve customer recommendations.

我们的团队实施了一种机器学习计算技术（计算技术）来改善客户推荐。

作文

In the rapidly evolving world of technology, the term computing technique (计算技术) has become increasingly significant. These techniques encompass a wide array of methods and processes that are used to perform calculations, manage data, and solve complex problems. From basic arithmetic operations to advanced algorithms, computing techniques play a crucial role in various fields such as computer science, engineering, and information technology.One of the most fundamental computing techniques (计算技术) is the use of algorithms. An algorithm is a step-by-step procedure for solving a problem or completing a task. For instance, sorting algorithms are essential for organizing data efficiently, while search algorithms help locate specific information within vast databases. The efficiency of these algorithms can significantly impact the performance of software applications and systems.Another important aspect of computing techniques (计算技术) is data structures. Data structures are specialized formats for organizing and storing data in a computer. They enable efficient access and modification of data, which is vital for performance optimization. Common data structures include arrays, linked lists, stacks, and trees, each serving different purposes and offering unique advantages depending on the context of their use.Moreover, the advent of artificial intelligence (AI) has introduced new computing techniques (计算技术) that leverage machine learning and deep learning. These techniques allow computers to learn from data and make predictions or decisions without explicit programming. For example, neural networks, a type of deep learning model, have shown remarkable success in image and speech recognition tasks. The ability to process vast amounts of data and identify patterns has transformed industries such as healthcare, finance, and entertainment.In addition to algorithms and data structures, parallel computing is another significant computing technique (计算技术) that enhances computational speed and efficiency. This technique involves dividing a problem into smaller sub-problems that can be solved simultaneously by multiple processors. As a result, tasks that would take a long time to complete sequentially can be accomplished much faster, enabling real-time processing and analysis of large datasets.Furthermore, cloud computing has revolutionized how we utilize computing techniques (计算技术). With cloud services, individuals and organizations can access powerful computing resources over the internet without the need for expensive hardware. This accessibility enables users to leverage advanced computing techniques for tasks such as big data analytics, application development, and collaborative projects, regardless of their geographical location.In conclusion, computing techniques (计算技术) are integral to the advancement of technology and the efficiency of problem-solving across various domains. As we continue to innovate and develop new methods, understanding these techniques will be essential for anyone looking to thrive in the digital age. Whether through algorithms, data structures, artificial intelligence, parallel computing, or cloud services, the impact of computing techniques (计算技术) on our daily lives and future developments cannot be overstated.

在快速发展的技术世界中，术语计算技术（computing technique）变得越来越重要。这些技术涵盖了用于执行计算、管理数据和解决复杂问题的各种方法和过程。从基本的算术运算到高级算法，计算技术在计算机科学、工程和信息技术等多个领域发挥着至关重要的作用。最基本的计算技术（计算技术）之一是算法的使用。算法是解决问题或完成任务的逐步程序。例如，排序算法对于有效地组织数据至关重要，而搜索算法则帮助在庞大的数据库中定位特定信息。这些算法的效率可以显著影响软件应用和系统的性能。计算技术（计算技术）的另一个重要方面是数据结构。数据结构是专门用于组织和存储计算机中数据的格式。它们使得高效访问和修改数据成为可能，这对性能优化至关重要。常见的数据结构包括数组、链表、栈和树，每种结构在不同的上下文中具有不同的用途和独特的优势。此外，人工智能（AI）的出现引入了新的计算技术（计算技术），这些技术利用机器学习和深度学习。通过这些技术，计算机可以从数据中学习，并在没有明确编程的情况下做出预测或决策。例如，神经网络作为一种深度学习模型，在图像和语音识别任务中表现出显著成功。处理大量数据并识别模式的能力改变了医疗、金融和娱乐等行业。除了算法和数据结构，另一个重要的计算技术（计算技术）是并行计算。该技术涉及将一个问题分解为多个子问题，可以由多个处理器同时解决。因此，本应顺序完成的任务可以更快地完成，从而实现对大数据集的实时处理和分析。此外，云计算彻底改变了我们利用计算技术（计算技术）的方法。通过云服务，个人和组织可以通过互联网访问强大的计算资源，而无需昂贵的硬件。这种可访问性使用户能够利用先进的计算技术进行大数据分析、应用开发和协作项目，无论其地理位置如何。总之，计算技术（计算技术）是推动技术进步和提高各个领域问题解决效率的关键。随着我们不断创新和开发新方法，理解这些技术对于任何希望在数字时代蓬勃发展的人来说都至关重要。无论是通过算法、数据结构、人工智能、并行计算还是云服务，计算技术（计算技术）对我们日常生活和未来发展的影响都不容小觑。