Exclusive | The Fundraising Tactic AI Startups Are Using to Juice Valuations - WSJ
Exclusive | The Fundraising Tactic AI Startups Are Using to Juice Valuations WSJ
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Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping
arXiv:2509.19579v2 Announce Type: replace Abstract: Outdoor intelligent autonomous robotic operation relies on a sufficiently expressive map of the environment. Classical geometric mapping methods retain essential structural environment information, but lack a semantic understanding and organization to allow high-level robotic reasoning. 3D scene graphs (3DSGs) address this limitation by integrating geometric, topological, and semantic relationships into a multi-level graph-based map. Outdoor autonomous operations commonly rely on terrain information either due to task-dependence or the traversability of the robotic platform. We propose a novel approach that combines indoor 3DSG techniques with standard outdoor geometric mapping and terrain-aware reasoning, producing terrain-aware place no
Documents: OpenAI and Anthropic have projected profitability to investors with and without training costs, and report inference costs exceeding half of revenue (Wall Street Journal)
Wall Street Journal : Documents: OpenAI and Anthropic have projected profitability to investors with and without training costs, and report inference costs exceeding half of revenue Silicon Valley's hottest startups have the same challenge: funding giant computing costs OpenAI and Anthropic
Japan, driven by labor shortages, is increasingly adopting robotics and physical AI, with a hybrid model where startups innovate and corporations provide scale (Kate Park/TechCrunch)
Kate Park / TechCrunch : Japan, driven by labor shortages, is increasingly adopting robotics and physical AI, with a hybrid model where startups innovate and corporations provide scale Physical AI is emerging as one of the next major industrial battlegrounds, with Japan's push driven more by necessity than anything else.
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arXiv:2601.10722v2 Announce Type: replace Abstract: The Robot Operating System 2 (ROS~2) has emerged as a relevant middleware framework for robotic applications, offering modularity, distributed execution, and communication. In the last six years, ROS~2 has drawn increasing attention from the real-time systems community and industry. This survey presents a comprehensive overview of research efforts that analyze, enhance, and extend ROS~2 to support real-time execution. We first provide a detailed description of the internal scheduling mechanisms of ROS~2 and its layered architecture, including the interaction with DDS-based communication and other communication middleware. We then review key contributions from the literature, covering timing analysis for both single- and multi-threaded exe
Terra: Hierarchical Terrain-Aware 3D Scene Graph for Task-Agnostic Outdoor Mapping
arXiv:2509.19579v2 Announce Type: replace Abstract: Outdoor intelligent autonomous robotic operation relies on a sufficiently expressive map of the environment. Classical geometric mapping methods retain essential structural environment information, but lack a semantic understanding and organization to allow high-level robotic reasoning. 3D scene graphs (3DSGs) address this limitation by integrating geometric, topological, and semantic relationships into a multi-level graph-based map. Outdoor autonomous operations commonly rely on terrain information either due to task-dependence or the traversability of the robotic platform. We propose a novel approach that combines indoor 3DSG techniques with standard outdoor geometric mapping and terrain-aware reasoning, producing terrain-aware place no
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