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

Srinubabu Kilaru said Bringing version control and CI/CD into data pipelines changed how quickly we could respond to policy ...

Abstract: This research aims to propose a terahertz metamaterial-based absorber that can sense the alterations in the enclosing medium’s refractive index. The suggested layout comprises a pair of ...

AI-powered analytics, automation, and behavioral monitoring are redefining how organizations detect and respond ...

The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

Overview: AI-powered fraud detection tools are rapidly being adopted by banks and fintechs to block scams and reduce losses.New platforms combine machine learni ...

Researchers have developed an AI-based tool that accelerates the detection of kidney cancer. Its effectiveness was validated ...

A generative advertising framework integrates diffusion models, multimodal learning, and brand style embeddings to automate creative production. By aligning semantic understanding with template ...

When most people think of artificial intelligence, they picture self-driving cars or chatbots. But for Fatima Rilwan Ododo, a ...