However, HOLO's efficient model ... machine learning, HOLO's algorithm can serve as an efficient optimization tool for training deep learning models. Leveraging the parallel computing capabilities of ...

In order to ensure the prediction accuracy of mechanical properties, a TCMSSA-ELM model, which is a hybrid of the sparrow search algorithm (SSA) optimized by the tent chaotic mapping (TCM) algorithm ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

A review by researchers at Tongji University and the University of Technology Sydney published in Frontiers of Computer Science, highlights the powerful role of graph neural networks (GNNs) in ...

A new study in Small introduces OptiMate, a machine learning model that predicts optical properties and identifies ...

The appropriate forecast for the CSO overflow ML model should be selected based on stakeholder objectives and the desired ...

The model provides a rough estimation of risk, Jimenez cautions. (Of course, no model can explain exactly what will happen in reality.) Still, it can provide valuable clues to the relative risks ...

Google's AlphaEvolve is the epitome of a best-practice AI agent orchestration. It offers a lesson in production-grade agent engineering. Discover its architecture & essential takeaways for your ...