Nature

AI-generated artwork detection using self-distilled transformers with global–local feature learning and Grad-CAM interpretability

This study presents a strong framework for the detection of artificial intelligence-generated artwork using digital imaging and deep learning–based transformers models, which helps in art community to ...
Nature

Transformers in single-cell omics: a review and new perspectives

Recent efforts to construct reference maps of cellular phenotypes have expanded the volume and diversity of single-cell omics data, providing an unprecedented resource for studying cell properties.
ascopubs.org

Transformer-based deep learning model for integrated pathomics and radiomics in predicting postoperative survival of intrahepatic cholangiocarcinoma patients.

Hepatocellular carcinoma patients with portal vein thrombosis treated with robotic radiosurgery for long term outcome and analysis: CTRT:2022/01/050234. This is an ASCO Meeting Abstract from the 2025 ...

Who Is Andrej Karpathy? The AI researcher behind Tesla Autopilot, OpenAI and the course that taught millions

From image captioning and neural networks to Tesla Autopilot and OpenAI, Andrej Karpathy has helped shape modern AI research. Here are seven major breakthroughs and contributions that influenced ...