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 ...

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 ...

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 ...

Machine learning algorithms use available data sets to develop a model. This model can then make predictions based on new data that were not part of the original data set.

ExtraHop® Open Sources Machine Learning Dataset to Help Security Teams Detect Malware and Botnet Operations Faster. Aims to expand cybersecurity collaboration, advance innovation across industry.

Cellarity Releases Novel, Open-Source, Single-Cell Dataset and Invites the Machine Learning and Computational Biology Communities to Develop New Algorithms Capable of Learning Fundamental Rules of ...