That challenge is examined in the study Towards Eco-Friendly Cybersecurity: Machine Learning-Based Anomaly Detection with ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

A new study introduces a multilingualism calculator that quantifies how multilingual a person truly is, offering a clearer alternative to vague labels like “bilingual.” ...

Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Thyroid cancer is the most common endocrine cancer, affecting more people each year as detection rates continue to rise.

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

The Ministry of Health on Tuesday graduated 105 persons from the Patient Care Assistants (PCA) and Community Health Workers (CHW) programmes at the Suddie Healthcare Training Institute, marking a ...

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.