Most ML algorithms require annotated text, images, speech, audio or video data. But, with the right resources and right amount of data, practitioners can leverage active learning. Active learning is ...

The accelerating power of machine ... images whose appearance can be controlled with free-form medical text prompts. A digital pathology–artificial intelligence framework that leverages active ...

Their proposed architecture, for example, takes images and free-form texts as node features." The takeaway? It may be early days for graph-based machine learning reasoning, but initial results ...

We take the opportunity to unpack what this means, and how it's related to the future of graph databases, as well as revisit interesting developments in Neptune's support for machine learning and ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

The Center for AI Enabling Discovery in Disease Biology (AID2B) applies artificial intelligence and machine learning techniques to customize treatments using patient data, combating biases in medical ...

PyKale - A PyTorch library that provides a unified pipeline-based API for knowledge-aware machine learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Our group ...