Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...

Utrecht University researchers Rodolfo Subert and Marjolein Dijkstra show in their latest study that complex three-dimensional networks in materials can emerge from nothing more than particle shape.

Community detection plays a crucial role in unveiling the hidden modular structures within complex networks. As real-world systems—from social interactions and biological processes to infrastructure ...

Scientists from Huazhong University of Science and Technology have used finite-time stability theory to achieve swift and accurate topology identification in networks that exhibit time delays and ...

In the face of the dual challenges of climate change and energy security, conducting in-depth research on energy and carbon emission (E&C) systems has become crucial for nations to address ...

Whenever we mull over what film to watch on Netflix, or deliberate between different products on an e-commerce platform, the gears of recommendation algorithms spin under the hood. These systems sort ...

IBM Network Intelligence uses AI to gather network telemetry and agents to help with reasoning, root-cause analysis and remediation. IBM has rolled out a cloud-based AI service that can help ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...