#control-theory — HeatPulse — HeatPulse

LIVE PULSE

4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src4.9 Anthropic CEO Amodei calls for slower AI development and shared safety rules — 11 src2.6 Agility Robotics unveils Digit 5 humanoid for warehouses and factories — 2 src2.4 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 src1.7 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 src1.3 Anthropic data retention policy prompts firms to limit Claude use for sensitive work — 1 src1.3 CoMem Paper Proposes Shared and Individual Memory Design for LLM Multi-Agent Systems — 1 src1.3 Paper proposes evolving context parameterization for large language models — 1 src1.3 Fine-Tuning Vision-Language Models with Listener Gaze for Referring Expressions — 1 src

#control-theory

2 curated events

papersTODAY 04:00 UTC

Fast Online Synthesis of Robust Controlled Invariant Sets for Monotone Systems

A new arXiv paper addresses the challenge of computing controlled invariant sets in real time for safety-critical autonomous control, where conditions shift during operation. Standard synthesis methods scale poorly as state dimension grows, so the authors exploit monotone system structure to derive robust invariant sets more efficiently. The work targets applications needing formal safety certificates computed online rather than offline.

safety/control-theory/arxiv/formal-methods

papersSEP 10 04:00 UTC

Paper Establishes Optimality Guarantees for Nonsmooth H-Infinity Policy Search in Control

A new arXiv preprint examines policy search for continuous-time H-infinity control using full-order dynamic output feedback, a setting that is both nonconvex and nonsmooth. The authors develop algorithms with provable optimality guarantees, addressing the shortage of rigorous theoretical foundations for direct policy search in reinforcement learning and continuous control.

reinforcement-learning/control-theory/robust-control/optimization