Artificial Intelligence-Based Bio-Inspired Computer Vision System
A special issue of Biomimetics (ISSN 2313-7673). This special issue belongs to the section "Bioinspired Sensorics, Information Processing and Control".
Deadline for manuscript submissions: 30 May 2026 | Viewed by 5
Special Issue Editors
Interests: deep learning; multimodal learning
Special Issue Information
Dear Colleagues,
The rapid advancement of artificial intelligence (AI), particularly in deep learning and bio-inspired computing, has profoundly reshaped the field of computer vision. Unlike conventional vision systems that rely on handcrafted features, bio-inspired approaches draw inspiration from natural perceptual and cognitive mechanisms, enabling more efficient, adaptive, and generalizable solutions. Integrating such biologically grounded principles with state-of-the-art AI architectures is not only key to understanding visual perception but also crucial for building next-generation intelligent systems.
With the emergence of multimodal learning, embodied intelligence, and neuromorphic computing, computer vision is entering a transformative stage where perception, reasoning, and interaction are increasingly intertwined. However, research is still fragmented across domains—ranging from neural-inspired architectures to cross-modal fusion and embodied visual understanding.
This Special Issue aims to consolidate these efforts, provide a platform for interdisciplinary collaboration, and advance the development of robust, explainable, and scalable AI-based bio-inspired vision systems that can better bridge the gap between biological intelligence and artificial perception.
Dr. Bing Zhai
Dr. Haoran Duan
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- bio-inspired computing
- artificial intelligence
- bio-inspired computing
- computer vision
- deep learning
- multimodal intelligence
- embodied intelligence
- neuromorphic computing
- cognitive systems
- explainable AI
- intelligent robotics
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