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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

#quantum-machine-learning

2 curated events

papersSEP 11 04:00 UTC

QNN-Based SRBB Algorithm Proposed for Quantum State Preparation

A new arXiv preprint introduces an algorithm for approximate quantum state preparation that is built on Lie algebra structures. The method combines a quantum neural network approach with the SRBB (standard recursive block-by-block?) decomposition, though the abstract excerpt is truncated. The work targets a problem considered fundamental across many areas of quantum computing.

quantum-computing/quantum-machine-learning/research/algorithms

papersSEP 10 04:00 UTC

arXiv paper studies IQP quantum features for credit default prediction

A new arXiv preprint investigates whether features generated by Instantaneous Quantum Polynomial-time (IQP) circuits can improve classification of credit default cases. The work frames credit default prediction as a tabular problem where even small F1 gains reduce lender exposure, and it examines the conditions under which these quantum-derived features actually help linear classifiers.

quantum-machine-learning/credit-risk/tabular-data/research