Machine-learning algorithms are responsible for the vast majority of the artificial intelligence advancements and applications you hear about. (For more background, check out our first flowchart ...

Unsupervised learning is used mainly to discover patterns and detect outliers in data today, but could lead to general-purpose AI tomorrow Topics Spotlight: AI-ready data centers ...

Reducing dimensions, a process that isn’t unique to unsupervised learning, decreases the number attributes in datasets so that the data generated is more relevant to the problem being solved.

Unsupervised machine learning discovers patterns in unstructured data without specific goals. It's utilized in various sectors, enhancing services like streaming and social media suggestions ...

This week, I debated with my friend whether one should consider that Generative AI tools are created through supervised or unsupervised learning. At the end of it, I lost the debate.

Unsupervised learning eliminates the need for human input in creation of the AI engine. It uses unlabeled data and derives the underlying semantics and patterns which are then used to make decisions.

In unsupervised machine learning, the examples aren’t labeled. The AI has to classify and organize the examples based on common characteristics. Stop signs, for example, are red with white ...

Open AI introduced ChatGPT 4.5 in late February 2025 calling it their “largest and best model for chat” so far scaling the feature of unsupervised learning to the next level.