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 ...

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 ...

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

Engineers have uncovered an unexpected pattern in how neural networks -- the systems leading today's AI revolution -- learn, suggesting an answer to one of the most important unanswered ...

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 ...

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.

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