Pattern recognition and machine learning are revolutionizing the functioning of the crypto market. They convert raw, random ...
CNN and random forest model to detect multiple faults in bifacial PV systems, including dust, shading, aging, and cracks. Using simulated I-V curves and a 180-day synthetic dataset, the model achieved ...
Festive ad season, once rife with bots and fraud, is now seeing a shift toward AI-driven, real-time anti-fraud measures that ...
Now, the biggest change involves incorporating AI tools to speed analysis and catch anomalies or outliers that humans could ...
Cyber attacks are growing smarter and faster. Hackers use advanced techniques to target businesses of all sizes. Traditional defenses often struggle to keep up, leaving networks and data at risk. […] ...
With a 25-year legacy in monitoring and observability, SolarWinds, a global leader in IT management software, has evolved its ...
At the frontier of land science, GeoAI integrates Earth observation, machine learning, and deep learning to produce ...
Explainable AI (XAI): Improving transparency in IDS decision-making builds trust and aids compliance with security ...
Together, the Gordian and Itron platforms can detect, analyze and classify millions of data events within milliseconds. For the utility, this unlocks even greater value from their smart infrastructure ...
In modern enterprise data platforms, data quality and data governance protocols are essential to ensuring the reliability, ...
AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, ...