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 ...
Engineers have long battled a problem that can cause loud, damaging oscillations inside gas turbines and aircraft engines: ...
One of the most striking outcomes of the surface-minimization framework is its ability to explain structural features that ...
Keysight Technologies has recently launched a new Machine Learning Toolkit within its Device Modeling Software Suite, using neural network–based optimization to cut semiconductor model development and ...
When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...
What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...
A proposed federal bill aims to ensure that the brain-related data collected by wearables and other devices is safeguarded to protect individuals’ privacy, prevent exploitation and build public trust ...
1 College of Hydraulic and Civil Engineering, Xinjiang Agricultural University, Urumqi, Xinjiang, China 2 Xinjiang Key Laboratory of Water Engineering Safety and Water Disaster Prevention, Urumqi, ...
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