Cybersecurity has always been the focus of Internet research. Malware refers to software intentionally designed to harm computer systems, networks, ...

A physics-constrained AI model called VLSet-AE automates feature extraction from DRIE cross-sections with 96 percent accuracy ...

The study also breaks down the full financial toll, revealing the hardest-hit countries and the most effective scam tactics ...

How can autonomous vehicles continuously learn new traffic scenarios without forgetting previously learned ones? Researchers from Tsinghua University ...

How can autonomous vehicles continuously learn new traffic scenarios without forgetting previously learned ones? Researchers ...

Generative AI models are usually built on deep learning, where multi-layered neural networks scan through endless pieces of ...

Investigators developed and validated a masked autoencoder deep learning model using vision transformer technology to automate the detection and grading of nuclear cataracts from slit-lamp images.

Abstract: Deep learning methods exhibit limited performance in few-shot specific emitter identification tasks due to the scarcity of labeled training samples. To address this challenge, this letter ...

Latent diffusion models have established a new state-of-the-art in high-resolution visual generation. Integrating Vision Foundation Model priors improves generative efficiency, yet existing latent ...

Insomnia disorder (ID) is neurobiologically heterogeneous and often eludes characterization by traditional group-level neuroimaging. Subtyping based on neuroimaging and clinical data offers a ...