Just when you thought the pace of change of AI models couldn’t get any faster, it accelerates yet again. In the popular news media, the introduction of DeepSeek in January 2025 created a moment that ...

Before the term artificial intelligence was coined in 1955, there were glimmers of AI’s potential in folklore, fiction, and the early engineering feats of the 19th and early 20th centuries. These ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

To address these issues, we propose a new GNN algorithm, LEGNN (Local and Global Enhanced Graph Neural Network), which introduces several key improvements over traditional GNN models such as GraphSAGE ...

Adolphi, C. and Sosonkina, M. (2025) Machine Learning and Simulation Techniques for Detecting Buoy Types from LiDAR Data.

AI and AR are transforming industrial IoT by enabling real-time data processing, enhancing operational efficiency, and ...

We propose a supervised data-driven method to predict S-wave velocity using a graph convolutional network with a bidirectional ... the prediction performance is increased by an unsupervised graph ...

starting from traditional Convolutional Neural Networks (CNNs) to Vision Transformers and MLP-Mixers that were more recently introduced to represent images as sequences. Most recently, Vision Graph ...

South Africa has eight major fibre network operators (FNOs) providing fibre-to-the-home (FTTH) connectivity to roughly 2.4 million households. MyBroadband recently asked the country’s top FNOs ...

Department of Chemical Engineering, National Taiwan University, No. 1, Section 4, Roosevelt Road, Taipei 10617, Taiwan Taiwan International Graduate Program on Sustainable Chemical Science and ...