SOURCE-LINKED INTELLIGENCE

Facets of Visual Cognition in Bees: Unlocking Nature’s Blueprint for Efficient Object Recognition

CORDIS · observation · Publication date unknown

humans and many animals, object recognition is not only fast but also remarkably robust against environmental variability, such as changes in lighting, orientation, or scale. Yet, despite advances in artificial intelligence (AI), replicating this capacity in artificial systems remains a significant challenge. One of the major limitations in AI lies in our incomplete understanding of how biological systems, particularly those with compact and efficient neural architectures, achieve these feats of visual cognition. Among biological systems, bees represent a compelling model. Despite their miniature brains and limited number of neurons (~1 million, compared to ~86 billion in humans), bees demonstrate complex cognitive behaviours, including high-speed visual processing, precise spatial navigation, and object (flower) recognition under varying conditions. Bees achieve this with exceptional metabolic and computational efficiency – a feature that aligns with key challenges in robotic and AI systems constrained by power, size, and real-time processing requirements. This FACETS project propos

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award

status

SIGNED

region

EU

value

226420.56

unit

EUR