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.