揭秘深度学习规模化的系统工程关键，C++/CUDA框架如何重塑训练性能与数值精度，值得技术人深读。
arXiv:2606.24780v1 Announce Type: new Abstract: Progress in deep learning is, at scale, more a matter of systems engineering than of modelling: the be…
多光谱无人机+深度学习，哪种框架最适合水稻病害制图？这篇IGARSS论文给出系统比较。
arXiv:2606.06359v1 Announce Type: new Abstract: In this study, UAV multispectral imagery is used to segment the severity of bacterial leaf blight (BLB…
CryoProt创新地利用冷冻电镜密度图与跨盒交互机制，为蛋白质预训练提供了新思路，值得AI生物研究者关注。
arXiv:2606.00955v1 Announce Type: new Abstract: Despite the growing availability of cryo-electron microscopy (cryo-EM) density maps, effectively lever…
多模态AI框架突破资源限制，为肺炎筛查提供低成本高效方案
arXiv:2605.02207v2 Announce Type: replace-cross Abstract: Pneumonia remains a leading global cause of morbidity and mortality, particularly in low-res…
结合层代数与神经ODE，实现高保真脑动力学生成，为脑科学计算建模开辟新路径。
arXiv:2605.19324v1 Announce Type: new Abstract: Efficient neural network models that generate brain-like dynamic activity can be a valuable resource f…
如何自动将神经网络实现从一种深度学习框架迁移到另一种？这篇论文提出新方法，解决框架间兼容性难题
arXiv:2511.02610v2 Announce Type: replace Abstract: The development of smart systems (i.e., systems enhanced with AI components) has thrived thanks to…