A deep technical guide to how modern AI really works—from neural networks and transformers to RAG, embeddings, reasoning ...
Ndpolator is a combined interpolator/extrapolator that operates on sparse (incompletely populated) $n$-dimensional grids. It estimates scalar or vector function ...
We developed a novel framework for deep reinforcement learning (DRL) algorithms in task constrained path generation problems of robotic manipulators leveraging human demonstrated trajectories. The ...
The large scale dynamics of the brain exhibits a plethora of spatio-temporal patterns. Since the first description of voxel-wise correlation networks (Eguíluz et al., 2005), there has been a ...
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Latent variable models (LVMs) are powerful tools for discovering hidden structure in data. Canonical LVMs include factor analysis, which explains the correlation of a large number of observed ...
Brain and heart continuously interact through anatomical and biochemical connections. Although several brain regions are known to be involved in the autonomic control, the functional brain–heart ...
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