detects

简明释义

英[dɪˈtɛkts]美[dɪˈtɛkts]

发现

英英释义

单词用法

同义词

反义词

例句

1.The tool then detects all calls that need to be changed and highlights them (Figure 3).

这时，该工具会检测所有需要更改的调用并突出显示它们(图3)。

2.HAC detects failures, performs failovers, and restarts servers when necessary.

HAC检测故障，执行故障转移，必要时重新启动服务器。

3.Verifying that the Add object wizard detects browser objects.

验证addObject向导检测到浏览器对象。

4.Coverage data detects this situation promptly so it can be corrected.

覆盖率数据能够迅速的发现这种情况，所以它能够被校正。

5.This system detects new software installations and uninstalls any non-corporate software.

该系统查找新的软件安装，并卸载任何不兼容的软件。

6.During postback, Seam automatically detects the pairing.

在回发期间，Seam自动检测该配对。

7.The network awareness framework detects only local network errors.

网络感知框架只检测本地网络故障。

8.The smoke alarm detects 探测 any signs of fire in the house.

烟雾报警器探测到房子里的任何火灾迹象。

9.This software detects 检测 malware on your computer.

这个软件检测到你电脑上的恶意软件。

10.The security system detects 发现 unauthorized access attempts.

安全系统发现未授权的访问尝试。

11.The sensors detect 探测 changes in temperature.

传感器探测温度变化。

12.This device detects 识别 when someone enters the room.

这个设备识别到有人进入房间。

作文

In the modern world, technology plays a crucial role in our daily lives. One of the most significant advancements is in the field of artificial intelligence and its ability to analyze vast amounts of data. One of the key functions of AI is that it detects patterns that humans might overlook. For instance, in healthcare, AI systems can analyze medical images and detect anomalies that could indicate diseases such as cancer. This capability not only enhances the accuracy of diagnoses but also speeds up the process, allowing for timely treatment. The ability to detect these issues early can save lives and reduce healthcare costs significantly. Moreover, in the realm of cybersecurity, AI is employed to detect threats and vulnerabilities in real-time. As cyberattacks become more sophisticated, traditional security measures are often insufficient. AI algorithms can learn from past incidents and detect unusual patterns of behavior that may signify a breach. By doing so, they help organizations protect sensitive information and maintain trust with their clients. The speed at which AI can detect potential threats is unparalleled, making it an invaluable tool in the fight against cybercrime. In environmental science, researchers utilize AI to detect changes in climate patterns and biodiversity. For example, satellite imagery combined with machine learning can help scientists detect deforestation or changes in land use. By analyzing these patterns, we can better understand the impact of human activity on the environment and take necessary actions to mitigate damage. The ability to detect these changes early allows for more effective conservation efforts and policy-making. Furthermore, AI is also being used in everyday applications, such as personal assistants like Siri or Alexa. These systems detect voice commands and respond accordingly, making technology more accessible to everyone. They learn from user interactions to improve their performance over time, detecting preferences and habits that enhance user experience. This interaction exemplifies how AI can seamlessly integrate into our lives, detecting our needs and providing assistance when required. However, while the ability to detect various phenomena offers numerous benefits, it also raises ethical concerns. The reliance on AI to detect personal information can lead to privacy violations. For instance, companies may use AI to detect consumer behavior patterns without explicit consent, leading to questions about data ownership and privacy rights. It is crucial for regulations to keep pace with technological advancements to ensure that the use of AI remains ethical and transparent. In conclusion, the ability of AI to detect patterns and anomalies has transformative implications across various fields, from healthcare to environmental science. While it enhances efficiency and accuracy, it also necessitates careful consideration of ethical implications. As technology continues to evolve, the challenge will be to harness the power of AI responsibly, ensuring that it serves humanity's best interests while safeguarding individual rights. The future will undoubtedly rely on our ability to detect the right balance between innovation and ethics.

在现代社会中，技术在我们的日常生活中发挥着至关重要的作用。其中最重要的进步之一是在人工智能领域及其分析大量数据的能力。人工智能的一个关键功能是它可以检测人类可能忽视的模式。例如，在医疗保健领域，人工智能系统可以分析医学图像并检测可能表明疾病（如癌症）的异常。这种能力不仅提高了诊断的准确性，还加快了过程，使及时治疗成为可能。早期检测这些问题可以挽救生命，并显著降低医疗成本。 此外，在网络安全领域，人工智能被用来实时检测威胁和漏洞。随着网络攻击变得越来越复杂，传统的安全措施往往不足。人工智能算法可以从过去的事件中学习，并检测可能表明入侵的异常行为模式。通过这样做，它们帮助组织保护敏感信息，并与客户保持信任。人工智能能够迅速检测潜在威胁的速度无与伦比，使其成为打击网络犯罪的宝贵工具。 在环境科学中，研究人员利用人工智能来检测气候模式和生物多样性的变化。例如，结合卫星图像和机器学习，科学家可以检测森林砍伐或土地使用的变化。通过分析这些模式，我们可以更好地理解人类活动对环境的影响，并采取必要措施减轻损害。早期检测这些变化的能力使得更有效的保护工作和政策制定成为可能。 此外，人工智能还被用于日常应用，如个人助手Siri或Alexa。这些系统检测语音命令并相应地做出反应，使技术对每个人都更加可及。它们从用户互动中学习，以提高性能，检测增强用户体验的偏好和习惯。这种互动展示了人工智能如何无缝融入我们的生活，检测我们的需求并在需要时提供帮助。 然而，尽管检测各种现象的能力带来了许多好处，但也引发了伦理问题。依赖人工智能来检测个人信息可能会导致隐私侵犯。例如，公司可能会使用人工智能检测消费者行为模式，而没有明确的同意，从而引发有关数据所有权和隐私权的问题。法规必须跟上技术进步的步伐，以确保人工智能的使用保持伦理和透明。 总之，人工智能检测模式和异常的能力在各个领域（从医疗保健到环境科学）具有变革性的意义。虽然它提高了效率和准确性，但也需要仔细考虑伦理问题。随着技术的不断发展，挑战将是负责任地利用人工智能的力量，确保其服务于人类的最佳利益，同时保护个人权利。未来无疑将依赖于我们在创新与伦理之间找到正确平衡的能力。