#spacecraft

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5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src5.0 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.7 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.5 Apple ships rebuilt Siri with Google Gemini, but not in the EU — 2 src2.2 Siri AI in macOS 27 Golden Gate: FAQ, Germany availability, privacy questions — 2 src1.8 Sam Altman says OpenAI will not go public in 2026, citing AI safety concerns — 5 src1.4 OpenAI contractors review real ChatGPT conversations to rate responses, report says — 2 src1.4 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.4 VoiceCodeBench arXiv paper proposes benchmark for exact structured-token recovery in speech recognition — 1 src1.4 Arabic-Russian Parallel Corpus and LLM Benchmark for Scientific Text — 1 src1.4 Study Analyzes Self-Reported Limitations in NLP Research — 1 src

2 curated events

papersTODAY 04:00 UTC

Chance-Constrained Maneuver Planning for Satellite Collision Avoidance Under Uncertainty

A new arXiv paper presents a planning method that decides whether a spacecraft has enough information to justify a collision-avoidance maneuver in low Earth orbit. The approach frames the decision as a chance-constrained problem in belief space, accounting for uncertainty in the predicted encounter. It aims to help operators handle the rising number of conjunctions without committing to unnecessary burns.

spacecraft/planning/uncertainty/research

papersSEP 10 04:00 UTC

Unsupervised Anomaly Detection Framework for Spacecraft Telemetry Uses Adaptive EVT Thresholding

Researchers have introduced an unsupervised framework for detecting anomalies in spacecraft telemetry that does not rely on labeled historical anomalies or lengthy warm-up periods, addressing common barriers to real-world deployment. The approach uses structure-aware modeling combined with adaptive Extreme Value Theory (EVT) thresholding to determine when telemetry readings should be flagged. The authors position the method as ready for operational use in settings where annotated failure data is scarce.

anomaly-detection/spacecraft/time-series