Scientists Built a Working Brain—And Now the ‘Possibilities Are Endless,’ a Scientist Says

Even consciousness could reveal its secrets someday with this realistic simulation, researchers hope. It will not only ...

Kolmogorov-Arnold networks bridge AI and scientific discovery by increasing interpretability

AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
IEEE

A Hybrid Cone-Beam CT Scatter Correction Method Combining Fast Monte-Carlo Simulation and Deep Neural Network

X-ray scatter presents a significant challenge in computed tomography (CT) by introducing artifacts and diminishing contrast, ultimately affecting measurement accuracy in reconstructed images. While ...
IEEE

Spatial-Spectral Contrastive Graph Neural Network for Few-Shot Hyperspectral Image Classification

Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
eLife

State-dependent brain responsiveness, from local circuits to the whole brain

This correspondence between brain state and brain responsiveness (statedependent responses) is outlined at different scales from the cellular and circuit level, to the mesoscale and macroscale level.
India Today

IITs are offering 11 free data science and analytics courses. Join by Jan 26

Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R ...
Frontiers

Emergent Behavior in Networks with Pairwise and Higher-Order Interactions

You will be redirected to our submission process. In recent years, the study of collective dynamics in complex systems has expanded beyond traditional pairwise network models to include non-pairwise ...