If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

From machine learning and deep learning to generative AI and natural language processing, different types of AI models serve various use cases—for example, automating tasks, developing better ...

Faster processors decrease training time for machine learning models. Businesses save hours by using Tensor Processing Units (TPUs) and Graphics Processing Units (GPUs).

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

A new study presents a machine learning model that accurately predicts the compressive strength of high-strength concrete, offering a more reliable and efficient alternative to traditional estimation ...

Wastewater treatment plants (WWTPs) are inherently complex, with nonlinear processes that are challenging to analyze and ...

Finding relationships between bio-signals and health outcomes is complicated for many reasons, including sorting out irrelevant data.

Three powerful new additions to Amazon SageMaker HyperPod make it easier for customers to quickly get started with training some of today’s most popular publicly available models, save weeks of ...

A machine learning model was able to accurately predict peak and average intraocular pressure (IOP), according to a study published in Frontiers in Medicine. 1 This learning model could help with ...