Categories: AI/ML News

New algorithm improves how AI can independently learn and uncover patterns in data

Researchers have developed a new AI algorithm, called Torque Clustering, that is much closer to natural intelligence than current methods. It significantly improves how AI systems learn and uncover patterns in data independently, without human guidance.

Truly autonomous AI is on the horizon

Researchers have developed a new AI algorithm, called Torque Clustering, that significantly improves how AI systems independently learn and uncover patterns in data, without human guidance.

February 12, 2025

In "AI/ML News"

K-Means Clustering for Image Classification Using OpenCV

In a previous tutorial, we have explored the use of the k-means clustering algorithm as an unsupervised machine learning technique that seeks to group similar data into distinct clusters, to uncover patterns in the data. We have, so far, seen how to apply the k-means clustering algorithm to a simple…

November 1, 2023

In "AI/ML Research"

Self-supervised machine learning adapts to new tasks without retraining

The field of machine learning is traditionally divided into two main categories: "supervised" and "unsupervised" learning. In supervised learning, algorithms are trained on labeled data, where each input is paired with its corresponding output, providing the algorithm with clear guidance. In contrast, unsupervised learning relies solely on input data, requiring…

December 24, 2024

In "AI/ML News"

AI Generated Robotic Content