This article explores the latest innovations in Artificial Intelligence (AI) and Machine Learning (ML) that are revolutionizing the field of Business Intelligence (BI). These…
Browsing: Graph Neural Networks
Generative Artificial Intelligence (GAI) is projected to add an estimated $2.6 trillion to $4.4 trillion in economic value, according to research by McKinsey. Deep…
This article discusses strategies for scaling deep chemical models and investigates neural-scaling behaviour in large language models (LLMs) and graph neural networks (GNNs) for…
This article presents a novel approach to unsupervised recognition and segmentation of lesion images, using the framework of fast data density functional transform (fDDFT).…
This article discusses the development of an advanced interpretable deep learning model using multimodal clinical electroencephalogram (EEG) features and demographic information as inputs to…
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications…
Nvidia unveiled its latest AI supercomputer, the DGX GH200, at Computex in Taipei. The system is composed of 256 Grace-Hopper superchips connected via NVLink,…
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications…
This work presents a novel approach to protein feature prediction, using a customized, task-specific version of the ESM-1b transformer model. This model contains an…
Amir Barati Farimani, an assistant mechanical engineering professor at Carnegie Mellon University, has been attempting to find efficient ways to absorb and store carbon…