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Related Articles from SNS
RPC-GS: Gaussian Splatting with native RPC Rendering for Satellite Imagery
arXiv:2606.06690v1 Announce Type: new Abstract: We present RPC-GS, the first Gaussian Splatting framework for satellite imagery that operates natively with Rational Polynomial Camera (RPC) models. The RPC model is the de facto standard for representing the complex imaging geometry of modern pushbroom satellite sensors. To simplify rendering, prior satellite Gaussian Splatting methods replace the RPC model with perspective or affine camera approximations, leading to geometric errors during...
RPC Opinion: The Russia (Sanctions) (EU Exit) Regulations 2026
RPC Opinion: The Russia (Sanctions) (EU Exit) Regulations 2026 Regulatory Policy Committee opinion of the options assessment for The Russia (Sanctions) (EU Exit) Regulations 2026 Documents Details The proposal consists of amendments to The Russia (Sanctions) (EU Exit) Regulations 2019 to expand and strengthen trade, services and transport sanctions, align with international partners, and tackle circumvention. The Regulatory Policy Committee (RPC) gave a ‘green’ rating to the options...
RPC opinion: impact of Financial Services and Markets Bill
RPC opinion: impact of Financial Services and Markets Bill Regulatory Policy Committee's opinion of the quality of the evidence and analysis in the impact assessment. The aim of the Financial Services and Markets Bill is to modernise how the financial services sector is regulated. The Regulatory Policy Committee (RPC) gave a ‘green’ rating to the impact assessment from HM Treasury on 27 May 2026.
RPC opinion: impact of Steel Industry (Nationalisation) Bill
RPC opinion: impact of Steel Industry (Nationalisation) Bill Regulatory Policy Committee's opinion of the quality of the evidence and analysis in the impact assessment from the Department for Business and Trade. Documents Details The Steel Industry (Nationalisation) Bill gives the Secretary of State powers to transfer the shares or property of a steel undertaking where it is necessary to do so in the public interest. The Regulatory Policy Committee (RPC) gave a ‘green’ rating to the impact...
RPC Opinion: The Companies (Directors’ Report) and Limited Liability Partnerships (Energy and Carbon Report) Regulations 2018 PIR
RPC Opinion: The Companies (Directors’ Report) and Limited Liability Partnerships (Energy and Carbon Report) Regulations 2018 PIR Regulatory Policy Committee's opinion of the quality of the evidence and analysis in the PIR from the Department for Energy Security and Net Zero Documents Details Streamlined Energy and Carbon Reporting (SECR) is a mandatory framework requiring large UK businesses to disclose energy use, greenhouse gas emissions, and related information in their annual reports...
GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training
Announce Type: new Abstract: Large-scale graph neural network (GNN) training often requires distributed clusters because graph structure and feature tensors no longer fit in a single node's memory. In sampling-based training, each mini-batch expands into a receptive field that spans partitions and triggers thousands of remote feature fetches per epoch. This wastes energy for two main reasons: each small RPC pays a fixed initiation and protocol cost, and GPUs continue drawing substantial...
The LD_DEBUG environment variable (2012)
The LD_DEBUG environment variable Originally published 23 April 2012, updated 10 September 2019 (add link to troubleshooting tool), updated 18 October 2019 (moved to Jekyll), updated 3 April 2023 with links to other tools Development of large systems using many shared (dynamically) loaded libraries can sometimes lead to some frustrating bugs that are difficult to diagnose. These bugs often arise because there a few different versions of libraries on the system and the “wrong” version gets...
LAP: An Agent-to-Instrument Protocol for Autonomous Science
Announce Type: new Abstract: Autonomous science is moving from demonstration to infrastructure. Large language model agents now plan experiments, and self-driving laboratories execute them. Yet every such system rebuilds the link between the reasoning agent and the physical instrument from scratch, against fragmented vendor SDKs and standards built for deterministic software clients rather than probabilistic, goal-directed agents.
Model Context Protocols in Adaptive Transport Systems: A Survey
Announce Type: replace Abstract: The rapid expansion of interconnected devices, autonomous systems, and AI applications has created severe fragmentation in adaptive transport systems, where diverse protocols and context sources remain isolated. This survey provides the first systematic investigation of the Model Context Protocol (MCP) as a unifying paradigm, highlighting its ability to bridge protocol-level adaptation with context-aware decision making. Analyzing established literature, we...
From Detection to Recovery: Operational Analysis on LLM Pre-training with 504 GPUs
Announce Type: replace Abstract: Large-scale AI training is now fundamentally a distributed systems problem, and hardware failures have become routine operating conditions rather than rare exceptions. Public operational evidence from production training clusters, however, remains scarce.