A research team from the Skoltech AI Center proposed a new neural network architecture for generating structured curved ...

A research team has introduced a new out-of-core mechanism, Capsule, for large-scale GNN training, which can achieve up to a ...

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator ...

Hefei National Research Center for Physical Sciences at the Microscale, Department of Physics, and CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics, University of Science and Technology ...

To address this challenge, we propose Efficient-Proto-Caps, a lightweight and inherently interpretable model that combines capsule networks with prototype learning for lung nodule characterization.

Neural Network Compression Framework (NNCF ... The framework is organized as a Python* package that can be built and used in a standalone mode. The framework architecture is unified to make it easy to ...

New technologies have been employed to improve the performance of this mosquito trap. An image recognition system equipped with a pre-trained neural network enables the mosquito trap to recognize ...