Encoding individual behavioral traits into a low-dimensional latent representation enables the accurate prediction of decision-making patterns across distinct task conditions.
The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Morning Overview on MSN
Different AI models are converging on how they encode reality
Artificial intelligence systems that look nothing alike on the surface are starting to behave as if they share a common ...
Objectives: Sturge-Weber syndrome (SWS) is a congenital neurological disorder occurring in the early childhood. Timely diagnosis of SWS is essential for proper medical intervention that prevents the ...
1 Guangxi Key Lab of Brain-Inspired Computing and Intelligent Chips, School of Electronic and Information Engineering, Guangxi Normal University, Guilin, China 2 Key Laboratory of Nonlinear Circuits ...
Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...
An improvement to an existing AI-based brain decoder can translate a person's thoughts into text without hours of training. When you purchase through links on our site, we may earn an affiliate ...
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