The 30-year-old system that classifies hair texture with letters and numbers overlooks science and enforces racial biases.

As you can see from the graphic, over the past five years, XLK has outperformed FTEC by 8.6%. Apparently, that is enough for ...

Abstract: Graph Convolutional Neural Networks (graph CNNs) have been widely used for graph data representation and semi-supervised learning tasks. However, existing graph CNNs generally use a fixed ...

Abstract: Transformer models have revolutionized the field of Natural Language Processing (NLP) and they achieve state-of-the-art performance in applications like machine translation, question ...