Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...
Abstract: Complex industrial equipment plays a critical role in specific tasks within industrial edge scenarios. Predicting their health status accurately is essential to ensuring safety and ...
Analogue engineering still relies heavily on manual intervention, but that is changing with the growing use of AI/ML.
From Kalshi and Polymarket to niche scientific platforms, traders are predicting the weather — and climate experts are ...
Abstract: The prediction of molten iron silicon content ([Si]) is crucial for blast furnace operation. Nowadays, neural networks are emerging as the most advanced model for [Si] prediction tasks.
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