#automated research
1666 related articles
Using Claude for Constrained Optimizat…
·2 min
Using Claude for Constrained Optimization Research: The Promise and Limits of AI-Automated Science
How Claude and LLMs assist constrained optimization research — from problem modeling to solver integration. An honest look at AI's real capabilities and limits in automated science.
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·3 min
AI + Python Reimagines Empirical Research: From Stata to Fully Automated Paper Generation
A PKU-Stanford trainer breaks down how Python surpasses Stata and R, how AI-driven Skills and Paper Workflow automate empirical research from data to LaTeX paper drafts.
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The Era of Agent-Driven Automated Research: Where Should Graduate Students Be Heading?
AI Agents are reshaping research workflows, taking over execution from experiment design to paper writing. Learn how grad students can shift from executors to decision-makers.
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The Complete Guide to Automated AI Research Resources: Papers, Tools, and Labs
A deep dive into the awesome-auto-ai-research open-source project, covering key papers, tools, labs, and roadmaps in automated AI research to help researchers explore the frontier of autonomous AI-driven science.
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AI Scientist: A Deep Dive into Sakana AI's Automated Research Framework
Deep dive into Sakana AI's open-source AI Scientist project: how LLMs automate the full research pipeline from hypothesis generation and experiment execution to paper writing, including architecture, workflow, and limitations.
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ARS Framework from Shanghai Jiao Tong University: Enabling Automated AI Research with Trustworthy Conclusions
Shanghai Jiao Tong University's ARS open-source framework solves trustworthiness challenges in autonomous AI research with evidence traceability and independent verification. Papers completed via ARS have been accepted at academic conferences.
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Research·2 min
Agent Loops in Practice: Transforming Token Output into Productivity from CUDA Kernels to Automated Research
Deep dive into how the Humanize framework transforms LLM tokens into engineering productivity via Agent Loops. Covers KDA winning CUDA kernel contests, virtual hardware optimization, and 50% research cost reduction.
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Tutorials·4 min
AI-Powered Research in Practice: From LLM Selection to Building Automated Workflows with N8N
A deep dive into AI-driven research methodology: LLM selection, Python automation, Zotero reference management, Overleaf writing, local LLM deployment, and N8N workflow automation.
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Tech Frontiers·3 min
Karpathy Open-Sources autoresearch: A Deep Dive into the AI-Powered Automated Research Tool with 80K Stars
Andrej Karpathy open-sources autoresearch, an AI Agent tool that automates nanochat training experiments on a single GPU. With 80K+ GitHub Stars, we break down its architecture and impact.
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Deep Dives·3 min
QuantBrain-Agent: Building a Fully Automated A-Share Research System with Qwen2.5-72B That Delivers Reports at 9 AM Sharp Every Day
Deep dive into QuantBrain-Agent: an open-source automated A-share research system powered by Qwen2.5-72B-AWQ, LangGraph multi-agent, LoRA fine-tuning, MCP tools, and CoT+ReAct architecture.
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Stynar: How an Autonomous AI Sales Agent is Reimagining the Entire B2B Outbound Prospecting Workflow
Deep dive into Stynar, an AI SDR product that uses autonomous AI agents for prospect research, personalized emails, multi-mailbox sending, intent detection, and automated meeting booking to cut B2B outbound costs.
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Parenting Reflections in the AI Era: What Kind of People Should We Raise Our Children to Be?
As AI reshapes careers, traditional parenting answers are failing. Exploring how parents can shift from teaching children "what to do" to guiding them on "who to become" in the AI era.
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The Hacker Renaissance: How AI Is Reshaping Individual Developer Creativity
AI coding tools are sparking a Hacker Renaissance, unleashing individual developer creativity like never before. Explore the rise of one-person companies, skill reshuffling, and new challenges.
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TAKT Open-Source Tool: Ending Unsupervised AI Coding with Unskippable Reviews
TAKT is an open-source CLI tool that wraps AI coding assistants into reproducible YAML workflows with a plan→implement→review→fix loop, enforcing unskippable code reviews.
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A Data Analyst's Existential Crisis After Deep AI Integration: Am I Downgrading Myself?
A senior data analyst faces skill atrophy, shrinking career space, and automation anxiety after deep AI integration. Analysis of how AI's shift from Copilot to Agent impacts data roles.
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ConferenceGrid: A Deep Dive into the B2B Conference Intelligence Database
Deep dive into ConferenceGrid, a B2B conference intelligence database covering 6,000+ events, 62,000 speakers, and 55,000 sponsors, using graph structure to transform conference data into actionable business intelligence.
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SEOBeast Review: Can a Fully Automated AI Blog Reshape the SEO Workflow?
In-depth review of SEOBeast's fully automated AI blogging tool, analyzing its complete SEO workflow from keyword discovery and competitor research to article generation, internal linking, and auto-publishing.
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radiusHQ: One Link to End Appointment Management Chaos
radiusHQ integrates services, pricing, calendar, payments, and reminders into one shareable link, helping freelancers build a professional booking page in 10 minutes while clients book in 30 seconds.
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Information Resistance in the Age of AI Marketing: How to Counter Automated Persuasion and Psychological Manipulation
Exploring how AI-powered automated persuasion works in email marketing, the psychology of manipulation tactics, and practical methods for building information resistance to protect independent thinking.
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UnYOLO: A GitHub Credential Broker and Policy Engine for AI Agents
UnYOLO is an AI Agent credential broker and policy engine for GitHub, enforcing least-privilege access, short-lived tokens, and policy rules to secure agent operations.
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