Design intelligence is an important branch of artificial intelligence (AI), focusing on the intelligent models and algorithms in creativity and design. In the context of AI 2.0, studies on design intelligence have developed rapidly. We summarize mainly the current emerging framework of design intelligence and review the state-of-the-art techniques of related topics, including user needs analysis, ideation, content generation, and design evaluation. Specifically, the models and methods of intelligence-generated content are reviewed in detail. Finally, we discuss some open problems and challenges for future research in design intelligence.

Digital creative industry is the collective name for the creative content industry and creative manufacturing industry that make effective use of digital technology; it takes science and technology, culture and art as input, and economic value and cultural influence as output. The digital creative industry is identified as one of the national strategic emerging industries for the first time during the 13th Five-Year Plan period, and has played an important role in advancing China's industrial transformation and upgrading and in prospering the digital economy. This paper aims to study the innovation and development direction of the digital creative industry at a macro level, summarizes the development experiences in China, and discusses the future development of the industry. Through a comparative analysis of the concepts and implications of the digital creative industry in China and abroad, the development characteristics, status, and problems of the digital creative industry in China are systematically sorted out, and the overall development ideas of the industry in China are formed accordingly. Furthermore, four major directions is proposed for the continuous innovation and development of China's digital creative industry, namely, digital cultural creative technology and equipment innovation, digital cultural content innovation, innovative design, and integrated innovation. Moreover, countermeasures and suggestions are put forward on the development and expansion of the digital creative industry, in terms of scientific and technological research, innovation institutions, platform enterprises, talent training, supervision services, and industrial clusters.

An ophthalmic swept source‐optical coherence tomography (SS‐OCT) system based on a high‐speed scanning laser at 1060 nm with a scanning rate of 100 KHz is constructed. Since the sample arm of the interferometer is comprised of multiple glass materials, the ensuing dispersion severely degrades imaging quality. In this article, second‐order dispersion simulation analysis for various materials was performed first, and dispersion equilibrium was implemented utilizing physical compensation methods. After dispersion compensation, an imaging depth in air of 4.013 mm was achieved in model eye experiments, and signal‐to‐noise ratio was enhanced by 11.6%, with a value of 53.8 dB. In vivo imaging of the human retina was performed to demonstrate structurally distinguishable retinal images, characterized by an axial resolution improvement of 19.8%, with a value of 7.7 μm close to the theoretical value of 7.5 μm. The proposed physical dispersion compensation method enhances imaging performance in SS‐OCT systems, enabling visualization of several low scattering mediums.

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