CCF & Alibaba Fund Multimodal AI Research Apply Now!

Beijing, [Date of Submission] – The Chinese Computer Federation (CCF) and Alibaba Group’s marketing platform, Alimama, have jointly announced the second phase of the CCF-Alimama Open Fund, a research grant program focused on advancing the field of multimodal intelligence. The announcement, made on February 27, 2025, signals a continued commitment to fostering innovation in this rapidly evolving area of artificial intelligence.

The fund, which comprises ten distinct research topics, aims to support projects that explore the potential of multimodal intelligence across various applications. This year’s focus is specifically on multimodal intelligence, encompassing key areas such as:

Progressive Algorithm Innovation for Multimodal Recommendation Systems: Research aimed at improving the accuracy and efficiency of recommendation systems by leveraging diverse data modalities.
User Intention Recognition Based on Multimodal Information: Development of techniques to better understand user needs and preferences by analyzing data from multiple sources, such as text, images, and video.
Multimodal Chinese Advertising Poster Creation: Exploration of AI-powered tools for generating engaging and effective advertising posters that combine visual and textual elements.
Multimodal Video Creative Production: Research into automated methods for creating compelling video content using multimodal data and AI-driven techniques.

The deadline for applications is March 26, 2025, at 24:00 (Beijing Time). The fund is open to all CCF members, encouraging broad participation from researchers and academics across China.

Multimodal intelligence, a critical technology in the next generation of AI, is gaining traction both domestically and internationally. It represents a key area for research and development, playing a crucial role in driving the development of new productive forces in China.

Alimama has already integrated multimodal intelligence technologies into various applications, including search, recommendation, retrieval, prediction, and creative design. For example, in display advertising prediction technology, Alimama has proposed a multimodal prediction model based on native graphic and text information, achieving significant results in industrial applications. Furthermore, Alimama has launched AI Native products for merchants based on AIGC technology in multimodal generation.

The CCF-Alimama Open Fund represents a significant investment in the future of AI research in China. By focusing on multimodal intelligence, the fund aims to accelerate innovation and drive the development of cutting-edge technologies that can benefit a wide range of industries. The collaboration between CCF and Alimama highlights the importance of industry-academia partnerships in advancing the field of artificial intelligence and solidifies their commitment to supporting the next generation of AI researchers.

Conclusion:

The launch of the second phase of the CCF-Alimama Open Fund underscores the growing importance of multimodal intelligence in the AI landscape. This initiative will undoubtedly stimulate research and development in this crucial area, leading to innovative solutions and applications across various industries. Future research could focus on expanding the scope of multimodal data integration, improving the robustness of multimodal models, and addressing the ethical considerations associated with AI-generated content.

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