A surge of new generative AI research on arXiv highlights breakthroughs in scientific hypothesis generation, data augmentation, and domain-specific applications, from solar flare prediction to supply ...

Nowhere is this convergence more evident than in the emerging field of sensory augmentation, where artificial intelligence ...

Abstract: Enhancing the generalization performance of CNN-based deep learning models for network traffic prediction requires a substantial amount of data. However, collecting large-scale network ...

(A) Overall structure of the model. MLP, multilayer perceptron. (B) Structure of the time encoder module. (C) Structure of the channel encoder module. BN, batch normalization. “Domain bias caused by ...

Time series classification is widely used in many fields, but it often suffers from a lack of labeled data. To address this, researchers commonly apply data augmentation techniques that generate ...

Carlsmed’s aprevo implant for lumbar spine surgery had reduced complication-related reoperations compared to conventional stock devices, according to two-year data. The study, published in Global ...

Muvon Therapeutics has linked its cell therapy to a 60% drop in stress incontinence episode frequency in a small phase 2 trial, leading the biotech to pitch the candidate as a way to reduce reliance ...

Abstract: Data augmentation in reinforcement learning (RL) aims to generate diverse and extensive datasets to enhance the learning process. Most existing studies on RL augmentation employ sample-based ...

Researchers at the University of Pittsburgh are developing wireless spinal implants with a $352,213 National Institutes of Health grant, the university said in an Oct. 27 news release. The implants ...

Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...