One of the more tedious aspects of machine learning is providing a set of labels to teach the machine learning model what it needs to know. Snorkel AI wants to make it easier for subject matter ...

The future of data labeling in machine learning. The progression of AI and ML is not looking to slow down anytime soon. Alongside this is the increased need for high-quality labeled datasets.

Data labeling and management can be labor-intensive for companies, Gopinath said, citing a 2019 Cognilytica report that enterprises adopting machine learning spend over 80% of their time on those ...

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 ...

Ease of use, more big data than ever, and a proliferation of libraries and toolkits helped machine learning leap ahead for many Topics Spotlight: AI-ready data centers ...

It also announced a new tool called Application Studio that provides a way to build common machine learning applications using templates and predefined components. Snorkel AI scores $35M Series B ...