Almost anyone can poison a machine learning (ML) dataset to alter its behavior and output substantially and permanently. With careful, proactive detection efforts, organizations could retain weeks ...

Whether that means seeking out the right alternative dataset to mitigate unforeseen risk or onboarding a specialty dataset to ensure that your hedges are actionable, machine learning won’t work ...

Differential privacy is a method for protecting people’s privacy when their data is included in large datasets. Because differential privacy limits how much the machine learning model can depend ...

IBM’s AI research division has released a 14-million-sample dataset to develop machine learning models that can help in programming tasks. Called Project CodeNet, the dataset takes its name ...

In this column I explain how to use the splitting and disorder code to create a working decision tree classifier. A good way to see where this article is headed is to take a look at the screenshot of ...

A TV shoot designed to be edited by a machine learning program or artificial intelligence. Our open-source dataset is for AI production and intelligent cinematography researchers. In November 2021 ...

Meta AI has released LeanUniverse, an open source machine learning (ML) library designed to address the growing challenges of managing datasets in large-scale machine learning projects. Built on the ...

For creatives, tackling machine learning requires an understanding of how to best feed it data and refine its algorithm to complement one’s artistic endeavors. BTC $ 97,326.05 ...