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

A Comparative Study of AI-Powered Chatbot for Health Care. Journal of Computer and Communications, 13, 48-66. doi: 10.4236/jcc.2025.137003 . The need for this research arises from the increasing ...

Artificial intelligence (AI) and machine learning (ML) have undergone significant transformations over the past decade. The revolution of convolutional neural networks (CNNs) and recurrent neural ...

This saves time, reduces costs, and enhances the accuracy of legal research and case preparation. Conclusion Natural Language Processing (NLP) bridges the gap between human language and computer ...

Using data from the web, for example, NLP has been applied to a wide range of public health challenges, from improving treatment protocols to tracking health disparities. 26 27 NLP and machine ...

Next step in light microscopy image improvement New deep learning architecture enables higher efficiency compared to widely used methods Date: November 19, 2024 Source: Helmholtz-Zentrum Dresden ...

Hypercomplex signal and image processing extends upon conventional methods by using hypercomplex numbers in a unified framework for algebra and geometry. The special issue is divided into two parts ...

ML uses a variety of techniques to facilitate artificial intelligence tasks such as natural language processing (NLP), image recognition, and predictive analytics.

As research in this field progresses and software tools become more widely available, we can expect to see increasingly sophisticated applications in many areas of research, e.g., computer vision, ...