A data science model is a statistical black box; testing it requires an understanding of mathematical techniques like algorithms, randomness, and statistics. To validate data science models you ...

Where real data is unethical, unavailable, or doesn’t exist, synthetic data sets can provide the needed quantity and variety.

A novel approach from the Allen Institute for AI enables data to be removed from an artificial intelligence model even after ...

To simulate blood flow inside brain aneurysms, researchers from Japan have developed a computational method that combines 4D ...

Addressing the challenges with the flow of clinical data will improve clinical outcomes by maximizing the value of patient data, providing access to clinical development professionals at the right ...

Our understanding of progress in machine learning has been colored by flawed testing data. The 10 most cited AI data sets are riddled with label errors, according to a new study out of MIT, and it ...

Data Flow Diagrams provide a clear understanding of the flow of data through the systems, processes, and users within your organization.

With version control, access management, and workflow automation built in, these platforms streamline reviews, approvals, and ...