In a world where it’s getting harder by the day to tell whether a paragraph, a painting, or even a scientific paper was ...

We compared different statistical and machine/deep learning–based approaches, using Explainable AI and federated learning for interpretability and distributed analysis. Relevance MOSAIC is a ...

Conformal prediction offers an alternative framework for representing machine learning outputs instead of point prediction scores. This approach has the potential to improve transparency and reduce ...

Scikit-Learn Scikit-Learn is a powerful framework for traditional machine learning algorithms such as regression, classification, and clustering. It integrates well with Linux-based Python ...

Researchers are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. The team introduces a new framework they've dubbed the Accurate Inverse process ...

Dubai has launched the world’s first icon-based classification system to represent the level of human–machine collaboration ...

Researchers at University of Toronto Engineering, led by Professor Yu Zou, are leveraging machine learning to improve additive manufacturing, also commonly known as 3D printing. In a new ...