Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

But what has a jar in a desert cave to do with machine learning? A Bedouin shepherd who sought one of the limestone hills close to the Dead Sea in 1947 tossed a stone into a cave and heard it hit ...

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

Global AI In Neurology Operating Room Market size is expected to be worth around USD 1066.0 Million by 2033 from USD 61.1 Million in 2023.

Abstract: Respiratory spatial patterns describe the distribution and dynamics of lung conditions, and monitoring of their asymmetry or irregularities enables a more comprehensive assessment of ...

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

The rise of AI has given us an entirely new vocabulary. Here's a list of the top AI terms you need to learn, in alphabetical order.

Machine learning didn’t disappear — it embedded itself. These seven competencies define what marketers must architect, govern and measure for 2026.

Abstract: Deep learning models are increasingly being employed in steganographic schemes for the embedding and extraction of secret information. However, steganographic models themselves are also at ...

Using machine learning models, researchers at Michigan Medicine have identified a potential way to diagnose amyotrophic lateral sclerosis, or ALS, earlier from a blood sample, a study suggests. The ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...