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 ...

CAST, groups fine details into object-level concepts as attention moves from lower to high layers, outputting a ...

Machine learning algorithms are the engines of machine learning, meaning it is the algorithms that turn a data set into a model ... such as image classification and speech recognition, that ...

Across various classes, the researchers identified a model that, when coupled with appropriate data augmentation and ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of molecules, materials and disease biomarkers in biological samples, ...

The result is a machine learning framework that is easier to work with—for example, by using the relatively simple Keras API for model training—and more performant. Distributed training is ...