However, current artificial neural network circuit architectures do not fully embrace small-world neural network models. Here, we present the neuromorphic Mosaic: a non-von Neumann systolic ...

In recent years, artificial intelligence (AI) technology has deeply integrated into daily life through tools like chatbots ...

New types of computing architecture, which emulate the working principles of biological neural networks, hold the promise of faster, more energy-efficient data processing.

For more than eighty years, deep learning has relied on a simplified model of brain function. Now, a Pittsburgh startup ...

MicroCloud Hologram Inc. announces a noise-resistant Deep Quantum Neural Network architecture, advancing quantum computing and machine learning efficiency.

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As ...

Darwin Monkey or 'Wukong' features over 2 billion artificial neurons and more than 100 billion synapses — similar to the ...

The researchers chose a kind of neural network architecture known as a generative adversarial network (GAN), originally invented in 2014 to generate images. A GAN is composed of two neural networks — ...

Unlike standard artificial neural networks, liquid neural networks handle complexity better and are more fluid, robust, expressive, and interpretable.