One of the most agonizing experiences a cancer patient suffers is waiting without knowing: waiting for a diagnosis, waiting ...

Humans and certain animals appear to have an innate capacity to learn relationships between different objects or events in ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Such networks, known to mathematicians as graphs, are made up of nodes connected by edges. On a football pitch, each player ...

A Generative Adversarial Network (GAN) is a type of machine learning model that’s used to generate fake data that resembles ...

Scientists in Spain have used genetic algorithms to optimize a feedforward artificial neural network for the prediction of energy generation of PV systems. Genetic algorithms use “parents” and ...

The neural network artificial intelligence models used in applications like medical image processing and speech recognition ...

Guided by the three-element theory of attitude in social psychology, the model assesses public attraction to specific ...

Many conventional computer architectures are ill-equipped to meet the computational demands of machine learning-based models. In recent years, some engineers have thus been trying to design ...

Advancements could enhance perceptual capabilities in robotics. Artificially engineered biological processes, such as ...