RestoreBench tests whether AI agents can restore power-flow convergence
A new arXiv benchmark evaluates chatbot, single-agent and multi-agent LLM systems on diagnosing and correcting non-convergent power-flow cases across two power grids.
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A new arXiv benchmark evaluates chatbot, single-agent and multi-agent LLM systems on diagnosing and correcting non-convergent power-flow cases across two power grids.
A new arXiv preprint describes an autoresearch loop deployed since April at an unnamed major U.S. consumer-services marketplace to generate provider-preference taxonomies for AI-based matching across 132 occupations.
CTech reports that Israeli startups raised at least $577.5 million across 12 funding rounds in August, with investment concentrated in AI security, enterprise deployment infrastructure and AI-enabled healthcare.
A new open-source workspace wraps coding agents in a human-controlled workflow designed to make AI-assisted research more traceable and recoverable.
A newly submitted paper proposes retaining only useful reasoning steps when multiple language-model agents collaborate. Its abstract reports higher average benchmark accuracy and a 31.9% reduction in HumanEval inference cost compared with the strongest baseline.
An arXiv study of Llama-3.1-70B-Instruct reports that spontaneous and instructed deception share some internal direction, but detection and steering methods transfer asymmetrically between them.
A new arXiv paper reports that version stamps and row-level eviction can help AI agents reuse recovery advice after server-side changes without silently applying outdated fixes.
A new arXiv paper describes Conversation Coach, a voice-first AI system for managers practicing difficult workplace conversations. Its production deployment reportedly reached more than 40,000 managers over six months, while the authors found a trade-off between the speed and cost of end-to-end speech-to-speech…
IT Brief Australia reports that RevEng.AI has launched Mega Bite, a platform extension containing two proprietary models for analysing compiled software without source code.
A study accepted to EMNLP 2026 reports that eight large language models sometimes preferred academic papers based on author, venue and citation signals even when titles and abstracts were unchanged.
A new benchmark reports that language and vision-language models change pedestrian-yielding decisions based on demographic attributes, raising fairness concerns for AI-guided autonomous vehicles.
California Attorney General Rob Bonta told POLITICO that his office is investigating OpenAI over the Hugging Face breach involving autonomous AI systems.
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