Abstract: Shoplifting is a major concern for retailers, leading to substantial financial losses worldwide. Traditional surveillance methods rely on manual monitoring ...

Abstract: Time series anomaly detection is crucial for improving the security and reliability of Cyber-Physical systems (CPS). While significant progress has been made, existing methods struggle to ...

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...

Physical artificial intelligence (PAI) is the application of AI and machine learning (ML) algorithms to enable autonomous ...

Tiny particles bounce light around in a unique way, a property that researchers are using to detect pollutants in water and soil samples.

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...

As agentic and gen AI gain steam, there is a growing need for traditional IoT networks to keep pace; floLIVE is set on solving this challenge.

DeepSnitch AI (DSNT) is redefining the crypto surveillance economy. Know how agentic on-chain intelligence, deflationary tokenomics, and a $1.6M presale are empowering retail traders.

Quantum Transportation’s unique decoder is making another step forward by being validated in high-performance cloud environments Ra’anana, Israel, Feb. 24, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd.

A new study reveals that the next generation of blockchain defenses will not rely on fixed rules alone but on adaptive, learning-based systems capable of evolving alongside intelligent adversaries.