What began as a Ph.D. project has grown into a website with 120,000 unique visitors each year. With the platform OpenML, ...

In the last two decades, mass digitization has dramatically changed the landscape of scholarly research. The ability to ...

Datasets in AI and machine learning contain many flaws. Some might be fixable, ... Whether they’re tasked with generating text, recognizing objects, or predicting a company’s stock price, ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

The Benefits Of Unified Data Format For Machine Learning Datasets. Imagine if you could bring together structured, ... text — and turn it into a mathematical representation native to ML models.

Text Analytics at CFPB. Sabo recently used this virtuous combination of text analytics and machine learning to explore patterns in data gathered by the Consumer Financial Protection Bureau (CFPB), ...

But AI is not only about large data sets, and research in “small data” approaches has grown extensively over the past decade—with so-called transfer learning as an especially promising example.

Machine-generated text has been fooling humans for the last four years. Since the release of GPT-2 in 2019, large language model (LLM) tools have gotten progressively better at crafting stories ...