Synthetic cannabinoids, a class of new psychoactive substances, have emerged as a significant public health and social stability threat due to their structural diversity, rapid iteration, and stronger ...

Magnetic materials are in high demand. They're essential to the energy storage innovations on which electrification depends ...

A I vision models have improved dramatically over the past decade. Yet these gains have led to neural networks which, though effective, don’t share many characteristics with human vision. For example, ...

Machine learning, on the other hand, deals with how a system learns from existing data to then deliver informed decisions. That puts ML in the overarching umbrella that is AI.

Ben Tasker “ (Machine learning uses) data science programs that can adapt based on experience,” said Ben Tasker, associate dean of AI and data sciences at Southern New Hampshire University (SNHU) and ...

Multi-task learning (MTL) is a machine learning method to share knowledge for multiple related machine learning tasks via learning those tasks jointly. It has been shown to be capable of effectively ...

In recent years, a lot of local languages require careful consideration in terms of knowledge exchange. Each language creates a sophisticated understanding system that allows users to interact, ...

Potato crops are vital to global food security, but they are susceptible to several diseases that hinder growth and yield. Traditional methods of detecting these diseases rely on labor-intensive lab ...

Handwritten Amharic character recognition presents significant challenges due to the script’s syllabic nature and variations in handwriting styles. This study investigates a hybrid approach that ...