Aside from the obvious efficiency benefits that AI and machine learning present, there are a number of other advantages to be realized. Data-driven decision making offers the ability to validate a ...

Measured through F1 scores, an ML model accuracy, the research team's new stance detection model for low-resource training data consistently scored higher than other AI models using all three ...

Discrepancy 3: Efficiency does not account for, and can potentially exacerbate, broader environmental impacts from hardware ...

When faced with training a new model for a related problem domain, or if there’s a minimal amount of training data, transfer learning can save invaluable time and energy. Daily insights on ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models to production. These best practices keep complex models reliable.

Martin Uecker and Moritz Blumenthal used self-supervised learning methods to train their machine learning model for MRI imaging. The basis for training the model is not pre-curated perfect images ...

Machine-learning technologies are unleashing a wave of data-driven innovation and transformation in radiation oncology, yielding step-function improvements in automation, workflow efficiency and ...