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Notes on scientific research
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OmniScientist: An Omni-Modal Omni-Discipline AI Scientist
Researchers have developed OmniScientist, an AI system that can conduct multidisciplinary research from raw data across various modalities (text, images, signals, etc.). The system operates in a deterministic pipeline…
The Industrialization of Research ; On AI-Driven Science and Its Consequences
The text discusses the transformation of scientific research due to artificial intelligence (AI), likening it to the industrialization of research. The author raises several concerns about this shift, including the…
Grounded autonomous research: a fault-tolerant LLM pipeline from corpus to manuscript in frontier computational physics
The paper presents an autonomous research pipeline that can conduct end-to-end research from a corpus of 11,083 recent condensed matter physics papers to a publication-grade manuscript. The agent is capable of…
Autonomous Scientific Discovery via Iterative Meta-Reflection
Researchers present DiscoPER, a framework for autonomous scientific discovery using large language models. It can explore datasets without predefined research objectives, conduct statistical testing to ensure validity…
Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
The paper presents a new infrastructure called Clarus designed to coordinate autonomous research agents for web-scale scientific collaboration. The goal is to shift from individual or closed workflow-based research…
AI-Assisted Computational Reproducibility on the FABRIC Testbed
This paper discusses how the FABRIC testbed, along with an AI coding assistant named LoomAI, can help simplify reproducing published experiments across various domains. The authors present three case studies and…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
