Rose Yu has drawn on the principles of fluid dynamics to improve deep learning systems that predict traffic, model the ...

Alibaba's QwenLong-L1 helps LLMs deeply understand long documents, unlocking advanced reasoning for practical enterprise applications.

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

Researchers at Imperial College London developed an AI-driven framework that combines wearable health data with real-time ...

and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that combine transformer and convolutional neural networks often use skip connections ...

We trained DeepHRD, a deep learning platform ... subsequent clinical action. CNN, convolutional neural network; HRD, homologous recombination deficiency; HRP, homologous recombination proficient; MIL, ...

ABSTRACT: Digital image forgery (DIF) is a prevalent issue in the modern age, where malicious actors manipulate images for various purposes, including deception and misinformation. Detecting such ...

These typical deep neural networks (DNNs), e.g., convolutional ... for learning features from vibration signals directly in an unsupervised-learning way. First, 1-D convolutional autoencoder is ...