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Top row: original images. Second row: images reconstructed by AI based on brain recordings from a macaque. Bottom row: images reconstructed by the AI system without an attention mechanism

Thirza Dado et al.

Artificial intelligence systems can now create remarkably accurate reconstructions of what someone is looking at based on recordings of their brain activity. These reconstructed images are greatly improved when the AI learns which parts of the brain to pay attention to.

“As far as I know, these are the closest, most accurate reconstructions,” says Umut Güçlü at Radboud University in the Netherlands.

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Felecia Phillips Ollie DD (h.c.) is the inspiring leader and founder of The Equality Network LLC (TEN). With a background in coaching, travel, and a career in news, Felecia brings a unique perspective to promoting diversity and inclusion. Holding a Bachelor's Degree in English/Communications, she is passionate about creating a more inclusive future. From graduating from Mississippi Valley State University to leading initiatives like the Washington State Department of Ecology’s Equal Employment Opportunity Program, Felecia is dedicated to making a positive impact. Join her journey on our blog as she shares insights and leads the charge for equity through The Equality Network.

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