The origins of modern AI can be traced back to psychology in the mid-20th century. In 1949, psychologist Donald Hebb proposed ...

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

A Hall thruster is a high-efficiency propulsion device using plasma that is used for various difficult space missions, such ...

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

Recurrent Neural Networks (RNN): A special type of neural network, RNN is a complex network that uses the output of a node ...

The singularity and transcendence of AI could imply a radical redefinition of the relationship between humans and technology ...

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

The explosive development of machine learning (ML) and artificial intelligence (AI) is changing industries worldwide. One of ...

Deep neural networks will allow signal transfer of nerve cells to be analyzed in real time in the future. That is the result ...

The Artificial Neural Network market was USD 248M in 2023 and is expected to reach USD 1256M by 2032, growing at a 19.79% CAGR from 2024 to 2032.

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 ...