Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Market valued at $1.68B in 2024, projected to reach $4.58B by 2033 at 13.4% CAGR, driven by chronic wound prevalence ...

Drone technology is poised for remarkable progress across multiple domains that are vital for human development.

It’s more than just code. Scientists have found a way to "dial" the hidden personalities of AI, from conspiracy theorists to ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Fragments of DNA from long-extinct human relatives still circulate in modern genomes, and in some cases they do more than ...

Abstract: This study examines approaches to hyperparameter optimization in machine learning and deep learning systems using genetic algorithms. Today, the success of neural networks and machine ...

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

The final, formatted version of the article will be published soon. "Facial Beauty" is not an absolute physical attribute but a subjective social and cultural construct. Facial beauty assessment is an ...