Ensemble integrating three architectures achieved area under the curve of 0.9208, outperforming individual models.

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Metals are made of randomly oriented crystals at the microscopic-length scale. The alignment of the crystal faces creates an infinite number of configurations and complex patterns, making simulations ...

RIT researchers publish a paper in Nature Scientific Reports on a new tree-based machine learning algorithm used to predict chaos.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

Like every other field, the field of remote sensing is undergoing one of the most transformative shifts in its history in this era of artificial ...