(a) An illustrative map for Crack-Net, including the initial features, looping solver for data generation, model training, and prediction performance. (b) The Crack-Net architecture, which utilizes ...

Scientists have long believed that foam behaves like glass, with bubbles locked into place. New simulations reveal that bubbles never truly settle and instead keep moving through many possible ...

Have you ever found yourself deep in the weeds of training a language model, wishing for a simpler way to make sense of its learning process? If you’ve struggled with the complexity of configuring ...

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...

The approach achieves high accuracy in panicle detection and canopy reconstruction, paving the way for more efficient breeding and crop management under diverse environmental conditions. Sorghum ...

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...