Google DeepMind released AlphaGenome on January 28, an AI model that predicts how DNA sequences translate into biological functions, processing up to one million base-pairs at once and outperforming ...
Abstract: Electroencephalogram (EEG)-based motor imagery (MI) brain–computer interfaces (BCIs) have significant potential in improving motor function for neurorehabilitation. Despite recent ...
After poring over recordings from sperm whales in the Caribbean, UC Berkeley linguist Gasper Begus had an unlikely breakthrough. According to a new study from Begus and his colleagues with Project ...
ABSTRACT: A new nano-based architectural design of multiple-stream convolutional homeomorphic error-control coding will be conducted, and a corresponding hierarchical implementation of important class ...
Spinal cord injury (SCI) refers to impact of trauma or illness on the spinal cord, causing motor, sensory, and autonomic dysfunction below the injury level. The cause of injury determines whether it ...
Introduction: In the field of brain-computer interfaces (BCI), motor imagery (MI) classification is a critically important task, with the primary objective of decoding an individual's MI intentions ...
School of Big Data, Zhuhai College of Science and Technology, Zhuhai, China ECoG signals are widely used in Brain-Computer Interfaces (BCIs) due to their high spatial resolution and superior signal ...
Human DNA contains roughly 3 billion letters of genetic code. However, we understand only a fraction of what this vast instruction manual tells our cells to do. Most of the genome remains mysterious, ...
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