Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is generally based on an ...

Scientists say they have made a breakthrough after developing a quantum computing technique to run machine learning ...

Prasun Chaudhuri speaks to expert Subrata Das about the opportunities. Das is currently an adjunct faculty member at ...

New research reveals that the brain may be learning even during unstructured, aimless exploration. By recording activity in ...

Aimlessly wandering around a city or exploring the new mall may seem unproductive, but new research from HHMI's Janelia Research Campus suggests it ...

Key Takeaways Top machine learning certifications boost skills in AI, data science, and automation.Reputable programs from ...

Researchers developed a two-stage ML model to predict coating degradation by linking environmental factors to physical ...

Digital finance is accelerating, and threats are evolving in complexity, outpacing traditional methods for detecting fraud.

To investigate the intrinsic role of EPS in fouling, a predictive membrane fouling model was developed using a supervised learning algorithm trained on experimental EPS data sets. After hyperparameter ...

In this paper, we propose the Semi-supervised Structured Subspace Learning algorithm for clustering data points from Multiple sources (SSSL-M). We explicitly extend the traditional multi-view ...