The latest information from the National Intellectual Property Administration shows that Guizhou Power Grid Co., Ltd. applied for a patent titled "Artificial Intelligence-Based Power Demand Data ...

Recently, researchers introduced a new representation learning framework that integrates causal inference with graph neural networks—CauSkelNet, which can be used to model the causal relationships and ...

M, a transformer-based AI trained on UK Biobank and Danish health data to predict and simulate lifetime trajectories for ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

Twenty-first century manufacturers post-COVID-19 have been facing significant challenges across their functions in supply chain, risk, operations, and customer experience. Threats by new (often more ...

Understanding the intricate web of connections within the human brain remains one of the greatest challenges in science. This ...