Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

Forests hide critical ecological information beneath dense canopy layers, where traditional imaging techniques struggle to access.

We will discuss word embeddings this week. Word embeddings represent a fundamental shift in natural language processing (NLP) ...

Nvidia’s data center chips have become the default engine for modern artificial intelligence, but they are not just faster ...

This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...

As AI Music Tools Proliferate, Detection Technologies and Industry Responses EvolveThe music industry faces an unprecedented ...

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...

Abstract: Graph neural networks (GNNs) are specifically designed for graph-structured data and have gained significant attention. However, training GNN on large-scale graphs remains challenging due to ...

The human brain is not a passive recorder of events, it is an active simulator that constantly rehearses futures, rewrites pasts and learns from scenes that never actually unfolded. When I look at the ...