Abstract: Visual question answering (VQA) in remote sensing has emerged as a challenging yet promising research area due to the complexity of high-resolution satellite imagery, diverse land cover ...

K-means clustering is one of the most approachable unsupervised learning techniques for finding patterns in unlabeled data. With Python’s scikit-learn and pandas, you can prepare, model, and evaluate ...

Microsoft says Agent Framework 1.0 is the production-ready release, with stable APIs and long-term support for both .NET and Python. The framework is presented as a unified successor path that builds ...

Abstract: Coronary semantic segmentation in X-ray angiography is essential for computer-aided diagnosis and treatment planning of coronary artery disease (CAD). Despite its importance, this task ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Dany Lepage discusses the architectural ...

TreeXAlgorithm - Burmeister, Josafat-Mattias, Tockner, Andreas, Reder, Stefan, Engel, Markus, Richter, Rico, Mund, Jan-Peter, & Döllner, Jürgen (2025). "treeX ...

A new brain imaging study reveals that remembering facts and recalling life events activate nearly identical brain networks. Researchers expected clear differences but instead found strong overlap ...

Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. With Fabric IQ, Microsoft is ...

This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the ...