Quantum computers lack useful functionality without the right algorithms to facilitate their operation. Currently, there are ...

Conventional computers process and store information using separate components, known as a processor and memory unit. Because ...

AI’s growing use in investigations raises new legal challenges, from verifying evidence authenticity to constitutional rights ...

Doctors are on board with wearable devices and see their potential to improve patient care, but integration into clinical ...

Cybersecurity experts believe that future quantum computers may eventually become powerful enough to break some of the ...

Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...

Three heads are better than one. Versions of this proverb are found worldwide and throughout history. Yet in the race to ...

Dhubaib, principal technologist at Rubrik, explores how data complexity and task complexity serve to increase uncertainty when working with AI systems and trusting the quality of the summaries they ...

Abstract: Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and ...

Abstract: Feature selection is a technique commonly used in Data Mining and Machine Learning. Traditional feature selection methods, when applied to large datasets, generate a large number of feature ...