#AI agents research
1955 related articles
·3 min
Using AI Agents to Write Research Experiment Logs: A Complete Methodology and Workflow
A detailed guide on using AI Agents to build Research Logs for scientific experiments, covering skeleton structure, daily workflows, pre-experiment thinking standards, code change tracking, and Agent-researcher division of labor.
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·3 min
Using AI Agents to Write Research Experiment Logs: A Complete Methodology and Workflow
Learn how to use AI Agents to build a Research Log for scientific experiments, covering structure, daily workflows, pre-experiment thinking, code change tracking, and human-AI division of labor.
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·3 min
Zero-Code Research: Using AI Agents to Run Complete Machine Learning Experiments
No coding required: use AI agents like Codex and Claude Code to complete full ML experiments via natural language. A real case study with a heart disease dataset.
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·2 min
AI Agents Are Taking Over Scientific Research — Where Should Graduate Students Focus Their Competitive Edge?
AI Agents are taking over experiment design, execution, and paper writing. Learn how graduate students can redirect their competitive edge in the age of automated research.
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·2 min
Vibe Coding in Practice: AI Agents Complete Full Research Experiments in Minutes
No coding required — just describe your needs in natural language. AI Agents handle data cleaning, model training, and visualization automatically. We tested Codex and Claude Code on a heart disease prediction task.
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AI Agents Playing Games: The Technical…
·2 min
AI Agents Playing Games: The Technical Value and Research Significance Behind the Fun
Why do AI agents play games? Explore how games serve as ideal AI training environments — from DeepMind's AlphaGo to LLM-driven agent experiments — and why game-playing benchmarks matter.
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·4 min
AI Agents Powering the Full Research Pipeline: A Practical Guide to Automation from Topic Selection to Publication
Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.
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Beware of Big Tech AI Agents: How to P…
·2 min
Beware of Big Tech AI Agents: How to Protect Your Research Intellectual Property
Are your research code, algorithms, or unpublished papers safe with Big Tech AI agents? This deep dive explores data risks and offers practical protection strategies.
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Autoresearch: How Self-Evolving AI Age…
·2 min
Autoresearch: How Self-Evolving AI Agents Are Reshaping the Software Factory
Autoresearch lets AI agents automatically explore and refine better solutions during task execution. This article breaks down agent recipes, self-improvement loops, and human-AI collaboration boundaries.
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OpenAI Research: How AI Agents Are Res…
·2 min
OpenAI Research: How AI Agents Are Reshaping Work and Productivity
OpenAI research reveals AI agents are evolving from chat assistants into autonomous "digital workers," driving productivity gains across technical and non-technical roles alike.
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Firecrawl Goes Free Again and Launches…
·2 min
Firecrawl Goes Free Again and Launches SOTA Research Index — A Turning Point for AI Research Agents
Firecrawl goes free again and launches a SOTA Research Index, giving AI research agents real-time access to scientific knowledge. Here's what it means for RAG, scientific reasoning, and AI-assisted discovery.
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·3 min
BioAgents: A Multi-Agent AI Framework for Autonomous Research in Biological Sciences
Deep dive into BioAgents multi-agent AI framework: how literature analysis and data scientist agents collaborate for autonomous deep research in biological sciences.
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·3 min
DeepSeek Researcher Summarizes 10 Rules for Using AI Agents
A DeepSeek researcher shares 10 universal rules for using AI agents, covering the shift from execution to judgment, memory file systems, human-AI collaboration boundaries, and more.
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·3 min
A $10 Million Research Fund Launches: What Happens When Millions of AI Agents Interact with Each Other?
Google.org and Schmidt Sciences launch a $10M fund to study collective behavior and emergent risks of multi-agent AI systems, from flash crashes to mass AI Agent deployment.
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Product Reviews·3 min
Stetos.co: How AI Voice Agents Are Scaling User Research
Deep dive into how Stetos.co uses AI voice agents for large-scale qualitative user interviews, turning thousands of conversations into actionable insights.
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Tutorials·2 min
NVIDIA Open-Sources AI-Q: A Skill Pack That Gives Coding Agents Deep Research Capabilities
NVIDIA open-sources AI-Q skill pack, giving coding Agents like Claude Code and Codex a four-stage deep research pipeline with MCP protocol, local deployment support, and 94% benchmark accuracy.
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Product Reviews·5 min
Manus vs Google Deep Research vs Flowith: A Hands-On Comparison of AI Agents for Courseware Generation
Hands-on comparison of Manus, Google Deep Research, and Flowith generating Kafka courseware with the same prompt. Detailed scoring reveals which AI agent delivers the best results.
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Deep Dives·3 min
ARS Academic Framework Explained: A Complete System Where 35 AI Agents Collaborate on Research
Deep dive into the ARS academic framework: how 35 AI Agents collaborate on literature review, paper writing, and quality assessment with a ten-step workflow, multi-layer quality control, and academic integrity safeguards — all for just $4-6.
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Product Reviews·3 min
PaperOrchestra Open Source Project Explained: Automatically Generating Research Papers with Coding Agents
PaperOrchestra is an open source AI paper writing tool based on Google's research. It uses coding agents like Claude Code and Cursor to automate the full research paper workflow without API keys.
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·5 min
Have AI Doomers Actually Used AI? A Developer Exposes the Gap Between Hype and Reality
AI Doomers warn AI will destroy humanity, but have they actually built AI apps? A developer's sharp critique reveals the vast gap between AI demos and real engineering practice.
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