Frontiers in Neurorobotics has published a new paper by Xiaofei Han and Xin Dou introducing a next-generation artificial intelligence framework that combines graph neural networks and multimodal ...

With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and ...

Hidden Python libraries can make data analysis faster and easier for large datasets. Tools like Polars, Dask, and Sweetviz simplify data cleaning, modeling, and visualization. Learning new Python ...

In a nightmare turn of events, the snake dragged Heru off the boat and into the water, where he disappeared under the surface ...

Browse the full catalog at your leisure, and start learning from the best today. Another big training vendor that will let ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I ...

Overview: Data analysis software makes sense of large amounts of information quickly.Tools like R, Python, and SPSS simplify research and statistical studies.Vi ...

Abstract: This work presents RepoGraph, an integrated semantic code exploration web tool that combines information extraction, knowledge graphs, and deep learning models. It offers new capabilities ...

Abstract: Equivariant quantum graph neural networks (EQGNNs) offer a potentially powerful method to process graph data. However, existing EQGNN models only consider the permutation symmetry of graphs, ...