人工智能的关键技术是深度学习，它通过模拟人脑的神经网络来阅读和处理大数据，并找出完成特定任务的规则。以深度学习为关键技术的人工智能逐渐成为各国研发投入的重点，其发展已进入应用阶段。
[En]
The key technology of artificial intelligence is deep learning, which reads and processes big data by simulating the neural network of the human brain, and finds out the rules to complete specific tasks. Artificial intelligence with deep learning as the key technology has gradually become the focus of R & D investment in various countries, and its development has reached the application stage.
虽然人工智能的发展早已渗透到人们生活的方方面面，但你知道人工智能领域的研究方向是什么，他们有哪些作品？面对琳琅满目的“智能”产品，人工智能的研究方向在哪里？“什么领域”也是人工智能发展的必经环节之一。
[En]
Although the development of artificial intelligence has long penetrated into all aspects of people’s lives, do you know what research directions are in the field of artificial intelligence and what are their “masterpieces”? In the face of a dazzling array of “intelligent” products, where is the research direction of artificial intelligence? “what areas” is also one of the necessary links in the development of artificial intelligence.
图像处理与计算机视觉
图像处理主要是对图像进行恢复、剪切、匹配和增强，而计算机视觉主要是实现人脸检测、模式识别和图像处理。例如，在医疗行业，人工智能技术在医学图像中的应用主要是指基于传统医疗手段收集的医学数据，通过计算机视觉技术对医学图像进行快速读取和智能诊断。自动识别患者的临床变量和指标，结合相关医学知识，为医生在病理诊断和医学图像识别方面提供辅助医疗工作。为患者的诊断和治疗方法提供参考。
[En]
Image processing is mainly to restore, cut, match and enhance the picture, while computer vision is mainly to achieve face detection, pattern recognition and image processing. For example, in the medical industry, the application of artificial intelligence technology in medical images mainly refers to the rapid reading and intelligent diagnosis of medical images through computer vision technology, which is based on the medical data collected in traditional medical means. automatically identify the clinical variables and indicators of patients, combined with relevant medical knowledge, to provide auxiliary medical work for doctors in pathological diagnosis and medical image recognition. And provide reference for diagnosis and treatment methods for patients.
语音识别与合成
语音识别与合成是让机器人模拟人类的语言，完成从内容到声音的实现过程。市面上，我们可以见到很多含有语音识别技术的产品，像智能玩具”会说话的娃娃”、手机上的”汤姆猫”、家里常用的”天猫精灵”智能音响、还有众所周知的”Siri”……这些都是大家熟悉的语音产品。目前语音技术在车联网（Internet of Vehicles）也已经有了新的突破，面对车载噪声以及复杂网络环境，语音技术可以理解用户发送的各种指令，实现与车辆外部世界的便利沟通、对车辆内部进行便利控制等等。
智能计算与机器博弈
说到计算与博弈，自然而然地便令人想到了AlphaGo ——通过一次又一次的学习、更新算法，AlphaGo 最终在人机大战中打败围棋大师李世石。此外，还有百度机器人”小度”——它曾多次参加最强大脑的”人机大战”，并取得胜利。机器博弈是人工智能的集中体现，它包含机器视觉、专家系统、神经网络、语音识别等技术。博弈机器学习的思想在很多领域都大有用武之地，比如社交媒体、众包管理、交通疏导等等。
除了上述几点，人工智能还有更多值得研究的领域。如果您感兴趣，我们将在下一次详细探讨它们。无论是在生活中，还是在社会中，我们都能感受到科技带来的变化，而对智能的追求就是实现人工智能在各个领域的广泛应用。
[En]
In addition to the above-mentioned points, there are far more areas worth studying in artificial intelligence. If you are interested, we will explore them in detail next time. No matter in life or in society, we can feel the changes brought about by science and technology, and the pursuit of intelligence is to realize the wide application of artificial intelligence in various fields.
Original: https://blog.csdn.net/cccfroccc/article/details/121335959
Author: 飞瑞敖科技
Title: 人工智能值得研究的领域有哪些?
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