In business, AI and machine learning harness the power of data and advanced analytics to improve efficiency ... and effective results. As the name implies, a customized AI model is trained to ...

A recent article published in Scientific Reports proposed integrating machine learning ... training dataset yielded better results from all three models than the test dataset. The GNN model ...

Research or medical AI applications, which often lack both training data and computing power, can leverage a new model designed to improve the efficiency, relevance and accuracy of AI outputs for ...

Learn More Transfer learning is a technique that’s risen to prominence in the AI and machine learning community ... in neural networks during the model training process. Nearly a decade later ...

Changing assumptions and ever-changing data mean the work doesn’t end after deploying machine learning models ... This issue relates to model bias, where the training data has statistical ...

Molecular machine learning (ML) underpins critical workflows in drug discovery, material science, and catalyst optimization ...

(Courtesy: RaySearch Laboratories) Machine-learning technologies are unleashing a wave of data-driven innovation and transformation in radiation oncology, yielding step-function improvements in ...

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 ...