Of course, classification in machine learning can go well beyond sorting your inbox. Any kind of data, whether alphanumeric or visual, can be sorted by artificial intelligence .

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.

It is structured around learning concepts from the field of Machine Learning and applying them to data-intensive problems. ... The students will be introduced to several real-life problems that ...

What makes AI-powered classification truly transformative is its ability to go beyond simple categorization. Modern AI systems can identify relationships between different pieces of data ...

This concept – data classification – is not new. But with the growth of unstructured data in particular, to have a clear picture of all data assets is essential. And increasingly, firms now ...

Most suppliers claim at least some machine learning (ML) or AI capabilities to automate the data classification process. Some also provide data classification as part of a broader data quality ...

A group of researchers are launching an open-source database of chemical synthesis procedures that they think will benefit artificial intelligence algorithms for reaction prediction, synthesis ...

And we have not even touched upon Level 2 -- machine learning systems that incorporate new data and update in real-time. However, to come full circle, if Huyen's experience is anything to go by ...

One traditional approach to the insider threat detection problem is supervised learning, which builds data classification models from training data captured in the logs. Unfortunately, the training ...