#research-infrastructure News & Analysis

4 articles tagged with #research-infrastructure. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles

AIBullisharXiv – CS AI · May 17/10

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Intern-Atlas: A Methodological Evolution Graph as Research Infrastructure for AI Scientists

Researchers introduce Intern-Atlas, a methodological evolution graph built from over 1 million AI papers that automatically maps how research methods develop and relate to one another. The infrastructure captures explicit causal relationships between methodologies and enables AI-driven research agents to reconstruct innovation timelines, addressing a critical gap in existing document-centric research systems.

AINeutralarXiv – CS AI · 1d ago6/10

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ResearchLoop: An Evidence-Gated Control Plane for AI-Assisted Research

ResearchLoop is a new technical framework that addresses reproducibility and auditability challenges in AI-assisted research by implementing an evidence-gated control plane. The system treats research components—questions, contracts, evidence, claims, and papers—as durable state objects, enabling verification of research claims throughout the AI-assisted workflow. The framework was validated through nine experimental versions, including self-hosting and mathematical olympiad benchmarks.

AINeutralarXiv – CS AI · May 126/10

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Improving TMS EEG Signal Quality for Closed-Loop Neuro Stimulation via Source-Domain Denoising

Researchers have developed and validated a TMS EEG cleaning pipeline with a benchmark dataset to improve signal quality for closed-loop neuro-stimulation applications. The study evaluates artifact removal strategies and demonstrates their effectiveness in preserving TMS-evoked potentials while reducing noise, with implications for advancing brain-computer interface research and clinical applications.

AIBullisharXiv – CS AI · Apr 136/10

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TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening

Researchers developed TiAb Review Plugin, an open-source Chrome extension that enables AI-assisted screening of academic titles and abstracts without requiring server subscriptions or coding skills. The tool combines Google Sheets for collaboration, Google's Gemini API for LLM-based screening, and an in-browser machine learning algorithm achieving 94-100% recall, demonstrating practical viability for systematic literature reviews.

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