Deep learning models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs) are designed to partly emulate the functioning and structure of biological neural networks. As a ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs ...

Neural Texture Compression (NTC) is a new technique that improves texture quality while reducing VRAM usage. It relies on a specialized neural network trained to compress ...

In a landmark move for the decentralized AI ecosystem, BlockMesh has officially merged into Perceptron Network, uniting two ...

The architecture proposed by St. Petersburg State University physicists belongs to the class of Binary Neural Networks (BNN) working with binary input and output signals of neurons. Unlike traditional ...

Discover the foundational blockchain networks powering decentralised finance, smart contracts, and digital innovation across ...

The increasing integration of robots across various sectors, from industrial manufacturing to daily life, highlights a growing need for advanced navigation systems. However, contemporary robot ...