Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
Neural network models that are able to make decisions or store memories have long captured scientists' imaginations. In these ...
Do speakers of different languages build sentence structure in the same way? In a neuroimaging study published in PLOS ...
A review article about the future of neuromorphic computing by a team of 23 researchers, including two authors from UTSA, was ...
In the context of power generation companies, vast amounts of specialized data and expert knowledge have been accumulated. However, challenges such as data silos and fragmented knowledge hinder the ...
In this paper, we propose a novel recurrent slice-wise attention ... since both 3D U-Net and non-local network are not able to efficiently capture the long-range dependencies between MS lesions and ...
Institute of Intelligent Machine, Hefei Institutes of Physical Science, Chinese Academy of Sciences, HeFei City, AnHui Province 230031, P. R. China University of Science and Technology of China, HeFei ...
This software project accompanies the research paper, Recurrent Drafter for Fast Speculative Decoding in Large Language Models . A computer equipped with one or more contemporary CUDA GPUs. This ...