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 ...

Researchers have developed a groundbreaking 3D brain model that closely mirrors the architecture and function of the human brain.

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 ...

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 ...

Researchers at Rensselaer Polytechnic Institute and City University of Hong Kong propose a novel AI framework inspired by 3D brain-like neural structures and recursive loops. This vertically ...

Kirksey Architecture, The Beck Group, Parkhill, Perkins Eastman, Gensler, and FGM Architects top Building Design+Construction's ranking of the nation's largest ...

Deep Neural Nets architectures are complex. Training them induces a greedy need for computing power and storage. This complexity is due to the large number of layers and parameters needed to achieve ...

Our approach leverages Neural Implicit Spatial Blocks (NISB) to dynamically cover the scene during mapping. Descriptors extracted from NISB and their associated keyframes are used for top-down place ...