The core argument of the paper is that what counts as misinformation is not an objective fact but a relative judgment ...

As researchers unveil a groundbreaking machine learning approach that dramatically reduces fraud detection costs by ...

Machine learning algorithms and large language models (LLMs), such as the model underpinning the functioning of the platform ...

A new “periodic table for machine learning,” is reshaping how researchers explore AI, unlocking fresh pathways for discovery. The framework, Information-Contrastive Learning (I-Con), connects diverse ...

In a recent analysis, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and collaborator William Gilpin reported that one ...

More fundamentally, what does it even mean to define the best labels? Machine learning provides a powerful, data-driven solution." The research team also included two of his students, Viola De ...

After uncovering a unifying algorithm that links more than 20 common machine ... learning algorithms that power LLMs. The equation describes how such algorithms find connections between real data ...

Machine learning methods enable computers to learn without being explicitly programmed and have multiple applications, for example, in the improvement of data mining algorithms. Proteomics ...