From the moment an embryo starts to take shape, two-way communication is critical for making sure tissues and organs develop ...
Closely related subtypes of dopamine-releasing neurons may play entirely separate roles in processing sensory information, ...
Breast cancer is the second most common cancer among women worldwide. Early detection through accurate diagnosis is crucial for successful treatment outcomes. This project leverages machine learning ...
Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures, allows ...
The delicate internal structure of platinum crystals growing in liquid metal has been revealed, according to new research employing a powerful X-ray technique. “There’s an Operating System that Exists ...
Abstract: This article proposes a novel data-driven distributed recurrent neural network (DDD-RNN) based on neurodynamics principles to address the challenge of precise collaborative motion generation ...