The AI race is entering a new phase, with a sharp pivot from the brute-force scaling of training data to the strategic amplification of models after training. Recent disclosures around xAI’s Grok 4 ...

Researchers develop test using machine learning to help predict immunotherapy response in lymphoma patients Date: April 1, 2025 Source: City of Hope Summary: A new article outlines a new tool that ...

What Is Unsupervised Learning? Unsupervised learning is a type of machine learning that uses algorithms to analyze and draw inferences from unlabeled data. The model is not given explicit instructions ...

A research team led by TU Berlin investigated the effect regarding the unsupervised learning of AI models, the article on this was published in Nature Machine Intelligence. This unsupervised ...

Automated analysis of microscopic images offers a powerful new tool for predicting and managing under-deposit corrosion in ...

Some unsupervised algorithms have the ability to pre-process data, uncovering clusters and associations that serve as valuable inputs for a supervised model, thereby enhancing its forecasting ...

so H(Fair) = 1 H (F a i r) = 1 for a fair coin, and we say it has 1 bit of entropy if you re-do the calculation with an unfair coin, say a coin with a 99% chance of coming up heads, you get H(Unfair) ...