AI agents waste massive cloud space, so block this bloat early with strict policy checks, illustrated using Terraform and ...

The RAG engine RAGFlow, which has ranked on GitHub Trends, is evolving into a practical context engine through Agent functionality and MCP support. Meanwhile, in the field of fine-tuning, an empirical ...

Among early- and mid-career computer science graduates, men are more likely than women to report no intentions to leave their ...

Abstract: Flow matching is a recent framework to train generative models that exhibits impressive empirical performance while being relatively easier to train compared with diffusion-based models.

The Stroop task is a well-known psychological experiment named after John Ridley Stroop in 1935. The task consists of challenging selective attention mechanisms in individuals by presenting them a ...

Revisiting Transferable Adversarial Images: Systemization, Evaluation, and New Insights. Zhengyu Zhao*, Hanwei Zhang*, Renjue Li*, Ronan Sicre, Laurent Amsaleg, Michael Backes, Qi Li, Qian Wang, Chao ...

Baihetiyaer M, Zhu X, Wu J-S, Ju X and Du G-L (2026) From empirical treatment to precision intervention: a multi-database bibliometric analysis of neuropsychiatric systemic lupus erythematosus ...