Linear algebra is the hidden language of artificial intelligence, powering everything from neural networks to dimensionality reduction. Mastering concepts like vectors, matrices, eigenvalues, and ...

AI images and video may be impressive, but they’re not ‘professional’-standard – an issue that a new research project seeks ...

A new study using US health survey data has developed a machine learning model that predicts osteoarthritis risk from exposure to volatile organic compounds (VOCs). The Linear Discriminant Analysis ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...

The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

A study found a machine learning model more accurately predicted major adverse cardiac events, such as heart attacks, than ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Methane is the second most important anthropogenic greenhouse gas after carbon dioxide, with a global warming potential roughly 28–34 times greater over a 100-year timescale. Major sources include ...

A new study by Justin Grandinetti of the University of North Carolina at Charlotte challenges one of the most dominant narratives in artificial intelligence: that modern AI systems are inherently ...