Professionals in agriculture, defense and security, environmental monitoring, food quality analysis, industrial quality ...

We all want to do our bit for the planet, but designers say these common mistakes are making your bathroom less ...

and Computer Program Product for Detecting Artificial Intelligence Images," marking a significant step forward in Tencent's technological layout in the field of artificial intelligence image ...

Tianyuan Big Data Credit Management Co., Ltd. applied for a patent titled "A Method and System for Designing and Implementing Image Texture Feature Extraction and Classification" in May 2025, with ...

A research team has developed a deep learning–driven computed tomography (CT) imaging pipeline that enables precise, ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

A curated set of 1,000 BC Cancer clinical documents with concentrated SDoH information served as the reference standard for training and evaluating NLP models. Two pipelines were used: an open-source ...

Unfortunately, any work you do in the universe will have to be done the old-fashioned way. There may be an infinite amount of energy locked in the vacuum of space-time. So could we ever harness this ...

The Allen Telescope Array, Hat Creek Radio Observatory. Credit: Alexander Pollak. Radio interferometry is a technique in radio astronomy where signals from two or more radio telescopes are combined to ...

Several Pixel users are reporting discrepancies between their camera viewfinder previews and the final processed photos. Most of the complaints focus on over-processed images with inaccurate color ...

Comic book adaptations dominate multiplexes and streaming services, presenting a seemingly endless parade of capes, cowls, and cosmic clashes. The Marvel Cinematic Universe and DC have made characters ...

Introduction: Karst collapse monitoring is a complex task due to data sparsity, underground dynamics, and the demand for real-time risk assessment. Traditional approaches often fall short in ...