In a rapidly evolving digital landscape, machine learning is at the forefront of computational advancements, revolutionizing industries from healthcare to finan ...

Simulations showed that by using the BGG model, it is possible to alter network dynamics from a vulnerable 4/7 corrupted node ...

Researchers combined core-shell rubber particles with ZnO nanoparticles to develop tougher, more heat-resistant epoxy ...

One of the most striking claims in the review is that AI-based classification models can meet or exceed the performance of ...

Neurodevelopmental disorders such as autism spectrum disorder (ASD) and attention deficit hyperactivity disorder (ADHD) have complicated etiologies ...

Arrhythmia Detection,Arrhythmic Events,Atrial Fibrillation,Clock Frequency,Deep Neural Network,ECG Signals,Hardware Implementation,Heart Rhythm,Lookup Table,Monte ...

The article reflects insights from Ms. Jegatheeswari Perumalsamy how AI and data analytics are transforming risk assessment ...

The purpose of this study was to develop a method of classifying cancers to specific diagnostic categories based on their gene expression signatures using artificial neural networks (ANNs).

Howard Hughes Medical Institute-led research has produced a complete connectome of the Drosophila visual system, enabling systematic investigations into how visual information is processed and relayed ...

Here’s how it works. The Alliance for IP Media Solutions (AIMS) and the Video Services Forum (VSF) today announced the successful completion of the IPMX Tested Event 2025, a significant milestone in ...