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…
强化学习新框架“Connect the Dots”让LLM代理实现跨域泛化与长期自学习，迈向更智能的自主决策。
arXiv:2606.20002v1 Announce Type: cross Abstract: This work presents a general framework for training large language models (LLMs) to "Connect the Dot…
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…
最新研究提出通过成本划分学习可容许启发式，解决最优规划中过度估计难题，为自动化推理提供新思路。
arXiv:2606.04597v1 Announce Type: new Abstract: Admissible heuristics are essential for optimal planning, yet learning them remains challenging due to…
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…
PyTorch编译器扩展Flashlight，高效加速各类注意力变体，助力大模型推理与训练
arXiv:2511.02043v4 Announce Type: replace Abstract: Attention is a fundamental building block of large language models (LLMs), so there have been many…
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…