Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.

By working to understand how new AI systems integrate flexible and incremental learning, researchers gained insights about ...

We introduce a variational representation of quantum states based on artificial neural networks with a variable number of hidden neurons. A reinforcement-learning scheme we demonstrate is capable of ...

Neural networks are computing systems designed to mimic both the structure and function of the human brain. Caltech ...

A team has shown that reinforcement learning -i.e., a neural network that learns the best action to perform at each moment based on a series of rewards- allows autonomous vehicles and underwater ...

For this purpose, the researchers use convolutional neural networks (CNNs). This is a special type of artificial neural networks, which is composed of various layers with different tasks.

The development of neural networks to create artificial intelligence in computers was originally inspired by how biological systems work.

In operation and maintenance, which accounts for the majority of research, IoT sensors and Digital Twins enable real-time monitoring of building systems. When coupled with AI, these technologies drive ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of robotic arms to work together faster and smarter in busy industrial settings, ...