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 ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

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

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

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.

Business schools are redesigning their curricula to produce graduates who interpret machine learning models, and make critical decisions in data-rich environments ...

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 ...