Now that anyone can use AI to generate keywords and spin up a paid search campaign in minutes, it’s easy to assume the hard work is done. But creating structured, scalable performance still requires a ...
State Key Laboratory of Cognitive Neuroscience and Learning, and IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing, China The study leverages a multimodal machine learning ...
This study presents a valuable application of a video-text alignment deep neural network model to improve neural encoding of naturalistic stimuli in fMRI. The authors found that models based on ...
Diffusion Transformers have demonstrated outstanding performance in image generation tasks, surpassing traditional models, including GANs and autoregressive architectures. They operate by gradually ...
Abstract: Recent advancements in deep learning for semantic communication have been significant, yet fixed-length encoding techniques struggle to capture the complex and variable nature of semantic ...
1 Research Center for Language and Cognition, School of Foreign Languages, Ningbo University of Technology, Ningbo, China 2 Guangdong Key Laboratory of Biomedical Measurements and Ultrasound Imaging, ...
Propagation of light pulses with intermodal dispersion in MMF. Words are mapped to different frequencies (different colors), the optical pulses are stretched into different temporal dispersion curves.
A team of researchers led by Professor Ming Tang and Dr. Hao Wu from Huazhong University of Science and Technology, China, along with doctoral students Zheng Gao and Ting Jiang, have developed a new ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results