Neuroscience continually strives to unravel the intricate relationship between neural network morphology, spiking dynamics, and their resulting functional ...
The researchers behind the recent work, based in China, decided to implement something similar for an artificial skin that ...
Tiny lab-grown brains are offering an unprecedented look at how schizophrenia and bipolar disorder disrupt neural activity.
At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...
Researchers from the High Energy Nuclear Physics Laboratory at the RIKEN Pioneering Research Institute (PRI) in Japan and ...
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 ...
Abstract: Time series forecasting is an essential and challenging task, especially for large-scale time-series (LSTS) forecasting, which plays a crucial role in many real-world applications. Due to ...
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