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Claude Science is a research partner tool designed for rigorous scientific work, leveraging Claude's capabilities to assist researchers.
The paper presents CalBrief, a pilot diagnostic benchmark of 16 evidence packages and 96 human-verified takeaways for evaluating whether large language models can generate evidence-calibrated scientific briefings. The study finds that structured organization improves reasoning but explicit strength-calibration policies are overly conservative, with most conservatism arising from expanded label spaces rather than signal injection.
Open Notebook is an open-source, privacy-focused alternative to Google's NotebookLM that runs locally and supports multiple AI models for research assistance.
Anthropic's Mythos Preview model outperformed human researchers in correcting wrong-turn decisions 64% of the time, a major improvement from 22% in 2024, showcasing Claude's advancing research assistance capabilities.
Sci-Bot is an AI-powered research assistant connected to the Sci-Hub database, providing answers grounded in scientific literature. The project was built using AI-generated code as an experiment.
A comprehensive beginner's guide to using Claude Code for non-technical academics, covering installation, project organization, and automation of research tasks without requiring coding skills.
Released a set of 6 Claude prompts that can quickly transform over 40 research papers into structured literature reviews, knowledge graphs, and research gap analyses, boosting research efficiency.
Paper2Any is an open-source AI tool that converts research papers into editable diagrams, technical roadmaps, and slide decks with support for universal file formats and custom styling.
The author introduces Papira, a beta tool that analyzes uploaded research papers to map coverage and identify gaps in machine learning and NLP subfields.
This paper introduces the AI Co-Mathematician, a workbench that uses agentic AI to support mathematicians in open-ended research tasks like ideation and theorem proving. Early tests show the system achieving state-of-the-art results on hard problem-solving benchmarks, including a 48% score on FrontierMath Tier 4.
OpenAI has developed an internal research assistant that combines dashboards with a conversational GPT-5 interface to help teams analyze millions of support tickets and generate insights in minutes instead of weeks. The tool democratizes data analysis across teams, allowing non-technical users to ask questions in plain language and get actionable reports on product feedback, customer sentiment, and trends.
A privacy-focused local deep research tool that supports various LLMs and search engines to achieve high accuracy on QA tasks while keeping data encrypted and local.