New method improves efficiency of vision transformer AI systems

Vision transformers (ViTs) are powerful artificial intelligence (AI) technologies that can identify or categorize objects in images—however, there are significant challenges related to both computing power requirements and decision-making transparency. Researchers have now developed a new methodology that addresses both challenges, while also improving the ViT's ability to identify, classify and segment objects in images.

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