Key applications of machine learning in finance Machine learning is changing the face of finance by automating complex processes, increasing security and allowing better decision-making.

The number of medical devices with artificial intelligence technology has risen sharply in the past decade. The Food and Drug Administration has authorized 950 AI or machine learning-enabled devices ...

Graph theory and machine learning are revolutionary approaches to medical image analysis that leverage the structural nuances of medical data for better diagnostic accuracy. This research focuses on ...

How to work with the FeatureCloud infrastructure and Federated Machine Learning, classification algorithms, graph neural networks, and ultimately the medical context that is the prerequisite of ...

Explore how machine learning impacts nanoscience and nanotechnology, leading to breakthroughs in material science, diagnostics, and energy solutions.

In the third stage, screening methods based on machine learning models gradually emerged. For example, Yi-Kai used Support Vector Machine (SVM) to differentiate between beta-thalassemia and ...

Developed by researchers at the University of Waterloo, GraphNovo employs machine learning technology to significantly enhance the accuracy of identifying peptide sequences. This breakthrough is ...

Overview Graph pooling is an essential component of GNNs for graph-level representations. The goal of graph pooling is to learn a graph representation that captures topology, node features, and other ...

The Shanghai AI/ML Group from MSRA Shanghai focuses on research areas related to machine learning and its application. For machine learning research, we are interested to fundamental deep learning ...