An AI machine learning method that trains a neural network by feeding it predefined sets of inputs. Sometimes used in the pre-training phase but mostly employed when the model is fine-tuned, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More At the advent of the modern AI era, when it was discovered that powerful ...

In recent articles I have looked at some of the terminology being used to describe high-level Artificial Intelligence concepts – specifically machine learning and deep learning. In this piece, I want ...

Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

If you are new to data science, this title is not intended to insult you. It is my second post on the theme of a popular interview question that goes something like: “explain [insert technical topic] ...

This article is part of our coverage of the latest in AI research. What is the next step toward bridging the gap between natural and artificial intelligence? Scientists and researchers are divided on ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...