RISC-V单核上实现FP16设备端训练的软硬件协同设计方案，突破边缘AI训练瓶颈。
arXiv:2607.21130v1 Announce Type: cross Abstract: By leveraging standard RISC-V extensions, namely Zfh (scalar float16) and Zvfh (vector float16), thi…
针对大模型训练中的故障恢复痛点，提出软硬件协同设计的开源蓝图，值得关注
Article URL: https://github.com/PJHkorea/pim-hbm-bypass Comments URL: https://news.ycombinator.com/item?id=48940625 Points: 2 # Comments: 1
NVIDIA官方详解硬件感知的大模型设计，平衡吞吐量与延迟的Pareto前沿策略。
Article URL: https://developer.nvidia.com/blog/ai-model-co-design-hardware-friendly-llm-design/ Comments URL: https://news.ycombinator.com/item?id=488…
多智能体辩论驱动机器人协同设计，大模型正在成为硬件设计新助手。
arXiv:2510.25850v3 Announce Type: replace-cross Abstract: We introduce Debate2Create (D2C), a multi-agent LLM framework that formulates robot co-desig…
大型语言模型引导神经架构搜索实现物理神经网络鲁棒协同设计，方法新颖且具有实践意义。
arXiv:2606.10294v1 Announce Type: cross Abstract: Deploying neural networks on unconventional hardware demands architectures that co-optimize task acc…
面向FPGA部署的神经架构协同设计包，解决NAS与硬件成本脱节问题，引入多维资源预算联合搜索。
arXiv:2605.16138v1 Announce Type: cross Abstract: Neural architecture search (NAS) is a powerful approach for automating model design, but existing me…