As next-generation mobile networks grow more complex, high-density 5G environments are placing enormous pressure on co ...

Neurosymbolic AI combines the learning of LLMs with teaching the machine formal rules that should make them more reliable and ...

In recent years, with the success of deep learning (DL), DL-based beam prediction methods ... Therefore, we propose a flexible network architecture, namely multi-stage network (MSN), to conduct the ...

Neural Architecture Search (NAS) has emerged as a popular design automation technique for co-optimizing the accuracy and complexity of deep neural networks. Nevertheless, existing NAS techniques ...

Please cite this work as: @inproceedings{fard2021asmnet, title={ASMNet: A Lightweight Deep Neural Network ... it will be possible for the network to evaluate the effect of each shortcut path.

A new machine learning approach tries to better emulate the human brain, in hopes of creating more capable agentic AI.

A team of astronomers led by Michael Janssen (Radboud University, The Netherlands) has trained a neural network with millions ...

Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

Cisco Systems Inc. (NASDAQ:CSCO) is one of the best 52-week high stocks to buy, according to analysts. On June 10, the ...