Twisted graphene heterostructures detect temperature with 99% accuracy, reduce thermal image errors by 46%, and execute logic ...

With the constant urbanization of societies and the increasing amount of waste generated, traditional waste management techniques are becoming less relevant as they do not meet the requirements of ...

A team studying the spectra of interstellar comet 3I/ATLAS has found evidence of "galactic cosmic ray processing". While interesting and certainly worth knowing, it really isn't the best news that ...

James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...

Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...

‘The money does not exist’: Why the buyouts for college football coaches are setting off alarm bells Secret Service finds 17 'skimming' devices in tour of San Antonio businesses 9-year-old girl’s 1962 ...

Abstract: RGB-thermal salient object detection (RGB-T SOD) aims to identify prominent objects by integrating complementary information from RGB and thermal modalities. However, learning the precise ...

MATLAB is a high-performance language and interactive environment used by millions of engineers and scientists worldwide for technical computing, data analysis, algorithm development, and ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...

The Fall Army Worm (FAW), Spodoptera frugiperda, is an invasive species that has rapidly spread across several continents, causing severe damage to a variety of crops, particularly maize (Dessie et al ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...