Abstract: Flood prediction is one of the most critical challenges facing today's world. Predicting the probable time of a flood and the area that might get affected is the main goal of it, and more so ...

This project has not set up a SECURITY.md file yet.

A NumPy-based deep learning library for building neural networks. It features an automatic differentiation engine and supports training models like LSTM, CNN, and FNN.

Researchers from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences have developed a neural network model based on self-attention mechanisms to rapidly predict radiation ...

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

Neural networks are one typical structure on which artificial intelligence can be based. The term neural describes their learning ability, which to some extent mimics the functioning of neurons in our ...

WiMi Hologram Cloud (WIMI) announced the development of a Quantum Computing-Based Feedforward Neural Network algorithm aimed at overcoming ...

One option is to develop processors that are a better match to the sort of computational needs of neural networks, which require many trips to memory and a lot of communication between artificial ...