The future of cybersecurity lies in the seamless integration of innovative tools, strategic frameworks, and a steadfast ...

AI-generated legal and regulatory content should be backed by structured legal databases to avoid misinformation and legal ...

Art and science can be aligned in different ways. We describe one use of art as a tool: using ambiguity to evoke curiosity.

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Neural AI (often referred to as neural network technology) applies pattern recognition on large datasets based on the complex ...

How big of a problem is it worldwide? By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature.

A new publication from Opto-Electronic Advances; DOI 10.29026/oea.2025.240152, discusses how multi-photon bionic skin ...

Network models are a computer architecture, implementable in either hardware or software, meant to simulate biological populations of interconnected neurons. These models, also known as ...

Here we propose a physics-informed neural network for cardiac activation mapping that accounts for the underlying wave propagation dynamics and we quantify the epistemic uncertainty associated with ...

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