The disease is known for its strong association with climatic variables, especially excessive rainfall, high humidity, and ...

Automation has moved from the factory floor to the inbox and beyond. Machine‑learning models now interpret invoices, approve ...

In a sport where tactics, terrain, weather, and timing all merge into one fluid contest, predicting the outcome of a cycling race can seem like guesswork.

This research aims to reactivate object-oriented databases using intelligent tools to improve performance and accuracy in ...

Technological advancements have profoundly transformed the sports domain, ushering it into the digital era. Services ...

Companies are building AI applications on data foundations that were never designed to support machine learning.

Why Everyone’s Jumping Into AI Right Now AI isn’t just some tech buzzword anymore , it’s everywhere. From your phone's voice ...

AI offers promise in the realm of chronic disease management, including diabetes, obesity, and PCOS, but must be approached with caution.

The second post in our data loss prevention series offers a roadmap for implementing Microsoft Purview DLP to secure ...

AI-based anomaly detection helps engineers identify potential problems early, to improve process efficiency, says Rachel Johnson Industrial processes and ...

As communications and data volumes surge, compliance teams face challenges in maintaining oversight and meeting evolving regulations. This demands a shift toward proactive, predictive, and scalable ...

A new semi-supervised audio analysis model leveraging bi-path feature extraction and attention mechanisms boosts sound event detection accuracy by 12.7% (PSDS1 0.489, PSDS2 0.771), enabling smarter ...