Abstract: Recently, topological graphs based on structural or functional connectivity of brain network have been utilized to construct graph neural networks (GNN) for Electroencephalogram (EEG) ...

A Competitive Takeout Program designed to help organizations escape the high cost and complexity of legacy metadata ...

Ripple is exploring Amazon Bedrock AI for XRPL operations to improve efficiency by using AI agents to analyze XRP Ledger ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

Author Shawn Peters blends clarity and rigor to make data structures and algorithms accessible to all learners. COLORADO, CO, UNITED STATES, January 2, 2026 /EINPresswire.com/ — Vibrant Publishers ...

With technology growing faster than ever, many Class 12 students dream of working in IT, AI, or data-driven fields. Data is now called the “new oil,” .

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

1 Baltic Center for Neurotechnology and Artificial Intelligence, Immanuel Kant Baltic Federal University, Kaliningrad, Russia 2 Research Institute for Applied Artificial Intelligence and Digital ...

Hope you are well. I'd like to add a section and some examples of network plots from my library iplotx. Our own gallery is at: and contains 70+ examples. Is this something I could open a PR for? It ...

I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful. Every data point, every observation, every piece of knowledge doesn’t exist in ...

This work investigates the ability of graph neural networks (GNNs) to homogenize 2D fiber composite microstructures. We use different inhomogeneity and anisotropy indices to motivate and show that the ...