Filling gaps in data sets or identifying outliers—that's the domain of the machine learning algorithm ... likely to make correct predictions than the standard algorithms that have been used ...

Machine learning and deep learning have been widely embraced, and even more widely misunderstood. In this article, I’ll step back and explain both machine learning and deep learning in basic ...

People living with HIV who have taken highly active antiretroviral therapy can have hyperlipidemia predicted in advance by ...

A study reveals machine learning algorithms can predict compressive strength in concrete with waste glass powder, enhancing ...

This progress in extreme weather prediction is a testament to the power of AI in enhancing climate resilience. Machine ...

The researchers filled in one gap by borrowing ideas from a machine-learning technique called contrastive learning and applying them to image clustering. This resulted in a new algorithm that ...

images, video, and music. It uses large language models and algorithms to analyze patterns in datasets and mimic the style or structure of specific content types. Machine learning (ML), on the ...

Mass General Brigham has introduced an AI tool called FaceAge that estimates biological age and predicts survival odds. A ...

Two teaching hospitals in the Middle East supplied 60 tongue images from patients ... Tongue Disease Prediction Based on Machine Learning Algorithms, Technologies (2024). DOI: 10.3390 ...