Topology-aware deep learning model enhances EEG-based motor imagery decoding

Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity ...
Tech Xplore

AI evaluates texts without bias—until the source is revealed

Large language models (LLMs) are increasingly used not only to generate content but also to evaluate it. They are asked to ...
PsyPost on MSN

Mind captioning: This scientist just used AI to translate brain activity into text

A new study published in Science Advances presents a method that converts human brain activity into coherent, descriptive ...
IEEE

Enhancing FT-Transformer With a Matérn-Driven Kolmogorov-Arnold Feature Tokenizer for Tabular Data-Based In-Bed Posture Classification

Abstract: In-bed posture classification plays a crucial role in health monitoring. In this paper, we explore in-bed posture classification using FT-Transformer, a model that employs 1D tabular inputs ...