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 ...

Data scientists sometimes use synthetic data to train neural networks; at other times they use machine-generated data to validate a model’s results. Other synthetic data use cases are more specific: ...

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

The human impact of the inefficiency is considerable, and there is a strong desire for near-real-time and seamless flow of clinical data throughout the trial lifecycle, to unlock the full ...

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

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 ...

Here are three established software solutions for accelerating data flow that are vital to business success. 1. Software-Defined Wide Area Network (SD-WAN) ...