Artificial neural networks are inspired by the early models of sensory processing by the brain. An artificial neural network can be created by simulating a network of model neurons in a computer.

The integration of artificial neural networks (ANNs) into predictive analytics is transforming the way industries forecast trends and make data-driven decisions ...

Once thought of as science fiction, artificial intelligence (AI) is now a reality that is becoming more embedded in our ...

In this lecture, we look at a non-symbolic representation scheme known as Artificial Neural Networks. This term is often shortened to Neural Networks, but this annoys neuro-biologists who deal with ...

Artificial intelligence (AI) has permeated our lives. Our phones unlock at the sight of our faces. We can have entire text ...

In order for large-scale artificial neural network hardware to become practical in the future, it is essential to integrate ...

Researchers at New York University recently set out to explore the possibility of training artificial neural networks on these models without domain-specific inductive biases. Their paper, published ...

This review begins by introducing the development history of optical neural networks (ONNs) and the mathematical models of optical artificial neurons. It explores the differences in constructing ONNs ...

In a move that has sent ripples through the scientific community, the Royal Swedish Academy of Sciences has made a ...

Researchers have developed a new binarized neural network (BNN) scheme using ternary gradients to address the computational challenges of IoT edge devices. They introduced a magnetic RAM-based ...