Hidden geometry explains why kernel methods separate complex data so well

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Microsoft

Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us

A surge in real-world attacks against agentic AI systems is reshaping how we think about risk. Based on 12 months of red ...

Open-source software unlocks rapid DNA structure generation and analysis in one workflow

Computational chemists at the University of Amsterdam's Van 't Hoff Institute for Molecular Sciences have developed a ...
IEEE

Prediction of Land Use and Land Cover Using Google Earth Engine (GEE) and Machine Learning Algorithms: A Review

Abstract: Reliability is a critical requirement for classifiers that generate maps of land use and land cover (LULC), and these classifiers are highly sought after. Particularly, machine learning ...