In 2016, the news that Google’s artificial intelligence (AI) robot AlphaGo, based on the principle of deep learning, won the victory over lee Sedol, the former world Go champion and the famous 9th Dan competitor of Korea, caused a sensation in both fields of AI and Go, which brought epoch-making significance to the development of deep learning. Deep learning is a complex machine learning algorithm that uses multiple layers of artificial neural networks to automatically analyze signals or data. At present, deep learning has penetrated into our daily life, such as the applications of face recognition and speech recognition. Scientists have also made many remarkable achievements based on deep learning. Professor Aydogan Ozcan from the University of California, Los Angeles (UCLA) led his team to research deep learning algorithms, which provided new ideas for the exploring of optical computational imaging and sensing technology, and introduced image generation and reconstruction methods which brought major technological innovations to the development of related fields. Optical designs and devices are moving from being physically driven to being data-driven. We are much honored to have Aydogan Ozcan, Fellow of the National Academy of Inventors and Chancellor’s Professor of UCLA, to unscramble his latest scientific research results and foresight for the future development of related fields, and to share his journey of pursuing Optics, his indissoluble relationship with Light: Science & Applications (LSA), and his experience in talent cultivation.

2016年，谷歌基于深度学习原理的人工智能（AI）机器人AlphaGo战胜前围棋世界冠军、韩国著名9段选手李世石的消息，在两个领域都引起轰动。人工智能和围棋的结合，为深度学习的发展带来了划时代的意义。深度学习是一种复杂的机器学习算法，它使用多层人工神经网络来自动分析信号或数据。目前，深度学习已经渗透到我们的日常生活中，比如人脸识别和语音识别的应用。科学家们在深度学习的基础上也取得了许多显着的成就。来自加州大学洛杉矶分校（UCLA）的 Aydogan Ozcan 教授带领他的团队研究深度学习算法，为探索光学计算成像与传感技术提供了新思路，引入了图像生成与重建方法，为相关领域的发展带来了重大的技术创新。光学设计和设备正在从物理驱动转变为数据驱动。我们很荣幸邀请到美国国家发明家学会院士、加州大学洛杉矶分校校长教授 Aydogan Ozcan 解读他的最新科研成果和对相关领域未来发展的远见，分享他追求光学的历程，他的不解之缘与 Light: Science & Applications (LSA) 的关系，以及他在人才培养方面的经验。并引入了图像生成和重建方法，为相关领域的发展带来了重大的技术创新。光学设计和设备正在从物理驱动转变为数据驱动。我们很荣幸邀请到美国国家发明家学会院士、加州大学洛杉矶分校校长教授 Aydogan Ozcan 解读他的最新科研成果和对相关领域未来发展的远见，分享他追求光学的历程，他的不解之缘与 Light: Science & Applications (LSA) 的关系，以及他在人才培养方面的经验。并引入了图像生成和重建方法，为相关领域的发展带来了重大的技术创新。光学设计和设备正在从物理驱动转变为数据驱动。我们很荣幸邀请到美国国家发明家学会院士、加州大学洛杉矶分校校长教授 Aydogan Ozcan 解读他的最新科研成果和对相关领域未来发展的远见，分享他追求光学的历程，他的不解之缘与 Light: Science & Applications (LSA) 的关系，以及他在人才培养方面的经验。