A new technical paper titled “Exploring Neuromorphic Computing Based on Spiking Neural Networks: Algorithms to Hardware” was published by researchers at Purdue University, Pennsylvania State ...

The artificial intelligence (AI) algorithms that drive these recommendations use a type of technology known as a Graph Neural Network, which is based on graphs: mathematical structures made up of ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

Researchers have developed a new tool, bimodularity, that adds directionality to community detection in networks.

Think of it like a bird’s-eye view of all the images as the neural network has organized them. The relationship among the images (like network’s prediction of the identity classification of each of ...

Feedforward neural networks (FNNs): A descendent of recurrent neural networks, FNN’s do not use any type of cycle or loop to process data and develop a model.

Other neural nets haven’t progressed beyond simple addition and multiplication, but this one calculates integrals and solves differential equations.

Artificial Neural Networks: Learning by Doing Designed to mimic the brain itself, artificial neural networks use mathematical equations to identify and predict patterns in datasets and images.