A machine-learning algorithm demonstrated the capability to process data that exceeds a computer's available memory by identifying a massive data set's key features and dividing them into manageable ...
A new tool, Data Provenance Explorer, lets users pick through the questionable provenance of many large data sets used for AI training. A new online tool allows users to identify, track and learn ...
Data mining is an analytical process designed to explore and analyze large data sets to discover meaningful patterns, correlations and insights. It involves using sophisticated data analysis tools to ...
It’s an open secret that the data sets used to train AI models are deeply flawed. Image corpora tends to be U.S.- and Western-centric, partly because Western images dominated the internet when the ...
A team has developed a new method that facilitates and improves predictions of tabular data, especially for small data sets with fewer than 10,000 data points. The new AI model TabPFN is trained on ...
Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...
Katharine Kemp is a Member of the Expert Panel of the Consumer Policy Research Centre, and the Australian Privacy Foundation. Photos of Australian children have been ...
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