This repo makes simple changes to allow using cuda 12.8 for 50-series cards. Use the following to install: To get started with loading and running OpenVLA models for inference, we provide a ...

The field of implementation science needs to prioritize evidence-informed interventions that fit the daily lives of the communities in which they will be delivered. Early prevention and intervention ...

Between 1-8 GPUs with 27-80 GB, depending on the desired training setup (with default bfloat16 data type). See this FAQ on our project website for details. First, set up a conda environment (see ...

Expertise in the various dimensions of integration and implementation is an essential but often overlooked component of transformative research on complex societal and environmental problems, such as ...

在具身智能领域，特别是如何构造一个高泛化性的 VLA，数据之争一直存在：仿真数据 vs 真机数据。数据来源不同，导致算法设计迥然不同，进一步对系统设计提出了更多的要求。做 infra 的目标是做好服务，支持不同技术路线的探索。 「仿训推一体化」RLinf v0.1 ...

具身智能是2025年的最大的“泡沫”吗？ 年初，宇树突然放大招，发布了5900美元的R1人形机器人。要知道，就在一年前，业内普遍认为人形机器人的成本底线还在2到3万美元，宇树这一招，相当于把整个行业的价格预期直接打碎。 紧接着，Figure AI的估值从2024年的 ...

AI工业时代的黎明：2025年标志着AI从“学术探索”正式迈向“工业化基础设施”时代。AI投资成为驱动美国GDP增长的核心力量，全球年度资本支出突破3000亿美元。 万亿级投入与能源焦虑：科技巨头（如OpenAI、微软、亚马逊）开启“星际之门”等超级数据中心计划 ...