Like humans, artificial intelligence learns by trial and error, but traditionally, it requires humans to set the ball rolling by designing the algorithms and rules that govern the learning process.

The authors report that the overwhelming majority of respondents identified data quality, rather than model sophistication, as the most critical factor influencing AI system performance. Errors, ...

The success of algorithms is indisputable. They are the invisible conductors of precision in a world overloaded with data. From predicting weather and optimizing traffic to diagnosing diseases and ...

We recommend this book to those seeking information and perspective,’ says Serdar Karagoz, the president and CEO of Anadolu, ...

New research finds that AI companions can provide emotional support, intimacy, and personal growth, but they can also erode ...

Artificial Immune Systems (AIS) and anomaly detection algorithms are computational methods inspired by the adaptive and self-regulating properties of the biological immune system. By emulating the ...

Artificial intelligence and blockchain are reshaping regulatory compliance, cutting costs by 40% while preventing breaches ...

An artificial intelligence-based deep learning algorithm significantly improves the sensitivity of emergency clinicians in ...