As data privacy collides with AI’s rapid expansion, the Berkeley-trained technologist explains how a new generation of models is learning without crossing ethical lines.

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, ...

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a chatbot is more humanlike and aware than it actually is, like believing it's ...

A research team shows that phenomic prediction, which integrates full multispectral and thermal information rather than ...

When a transmitter sends a Wi-Fi signal and a receiver captures it after it passes through a person, the signal’s changes can ...

First, institutions must ensure that synthetic datasets are continuously recalibrated against fresh, real-world evidence. The ...

For years, the artificial intelligence industry has followed a simple, brutal rule: bigger is better. We trained models on massive datasets, increased the number of parameters, and threw immense ...

The shift from volume to value requires more than enthusiasm. It requires engineering discipline, business ownership and the ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

AI engineer uses data to cut hospital readmissions By Staff Writer, ITWebJohannesburg, 24 Dec 2025Sylvester Tafirenyika ,co-founder of RoyalTech AI Labs. As artificial intelligence (AI) increasingly ...

The surging prop bets market and demand for granular real-time sports betting analytics data are re-jigging the business ...