By learning the relevant features of clinical images along with the relationships between them, the neural network can outperform more traditional methods.

Build AI into your enterprise content and knowledge management platform with 5 APIs that help you base your AI on enterprise ...

A Loughborough University student has developed a new medical device that could transform how prostate health is assessed and ...

Magnetic hysteresis loss (iron loss) is an important magnetic property that determines the efficiency of electric motors and ...

In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Fake news articles contained significantly higher levels of negative sentiment, including emotions such as fear, anger, ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity ...

New research reveals a surprising geometric link between human and machine learning. A mathematical property called convexity may help explain how ...

Sponsored by Park SystemsReviewed by Olivia FrostJun 17 2025 This article introduces the FX200, the latest large-sample Atomic Force Microscope (AFM) from Park Systems, developed to meet both ...

Among these, Young's modulus is a key mechanical property, as it quantifies a material’s stiffness or rigidity.1 Temperature fluctuations can have a significant impact on the mechanical behavior of ...