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# GeniX - When Agent Becomes the Scientist – Building Closed-Loop System from Hypothesis to Verification
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[[ Paper 📓 ]](https://arxiv.org/abs/2505.16938) [[ Website 🏠 ]](https://github.
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From One Idea to Autonomous Experimentation
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## 📖 Overview
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 [[ Website 🏠 ]](https://alpha-innovator.github.io/GeniX-project-page) [[ GeniX Examples 🤗 ]](https://huggingface.co/U4R/GeniX)
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From One Idea to Autonomous Experimentation
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# 🔥 News
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- <p style='text-align:justify'><i>2025.06.02</i>: NovelSeek will be renamed <b>GeniX</b> in two days (<b>meaning Genius + X, representing infinite possibilities</b>). This change embodies our hopeful vision for autonomous scientific research framework, and we hope it will empower all researchers to achieve great scientific discoveries.</p>
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## 📖 Overview
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GeniX can support **12** types of scientific research tasks ranging from the AI field to the science field, including reaction yield prediction, molecular dynamics, power flow estimation, time series forecasting, transcription prediction, enhancer activity prediction, sentiment classification, 2D image classification, 3D point classification, 2D semantic segmentation, 3D autonomous driving, large vision-language model fine-tuning.
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## 🌟 Core Features
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GeniX covers three main capabilities: (1) **Self-evolving idea generation with human-interactive feedback**, (2) **Idea-to-methodology construction**, and (3) **Evolutionary experimental planning and execution**.
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GeniX is a unified, closed-loop multi-agent system designed to automate and accelerate innovative research across scientific domains. Through intelligent agent collaboration, GeniX enables **end-to-end automation** from idea generation and methodology construction to experimental execution, dramatically enhancing research efficiency and creativity.
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### 💡 Self-Evolving Idea Generation with Human-Interactive Feedback
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- Autonomous generation, selection, and evolution of innovative research ideas through multi-agent collaboration
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