From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...

Abstract: The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the ...

Over the past few decades, artificial intelligence has steadily become a major driver of innovation in the field of medical ...

They are putting themselves to the fullest possible use, which is all I think that any conscious entity can ever hope to do.

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter adjustments. It started with the ...

The tremendous growth of deep learning models, especially the success of generative AI and foundation models, has led to their deployment in several critical sectors, including biometric recognition, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. A common desire in nanoscience is to describe the size and morphology of nanoparticles ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In this article, we introduce a diagnostic platform comprising an optical microscopy ...

This project involves real-time image classification using a pretrained model built with Keras and TensorFlow. It leverages a webcam to capture images, processes them, and classifies them into ...