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Ever dreamed of having an AI that doesn't just write code, but actually *researches, proposes ideas, and evolves* on its own? 🚀 In this episode, we’re diving deep into **Microsoft’s R&D-Agent**, the powerhouse framework where AI drives data-driven AI to supercharge industrial productivity! 🧠💻 Whether you're a data science pro or an AI enthusiast, you need to know how this system is smashing benchmarks. We explore how R&D-Agent became the **top-performing machine learning engineering agent on MLE-bench**, outperforming previous public results in real-world engineering scenarios. We’re breaking down the "R" (Research) and the "D" (Development) — from automated *Kaggle competition* mastery 🏆 to the first data-centric *Quantitative Finance* multi-agent framework, RD-Agent(Q), which is delivering 2x higher returns in stock markets. 💹 Get ready to meet your new **Research Copilot**! 🦾 We’ll discuss how this agent reads papers, extracts formulas, and builds runnable code so you can focus on the big picture. The era of autonomous R&D is here, and it’s open-source! 🛠️✨ Source: GitHub - microsoft/RD-Agent: Research and development (R&D) automation through R&D-Agent. https://github.com/microsoft/RD-Agent #AI #DataScience #MachineLearning #MicrosoftResearch #RDAgent #LLM #Automation #Kaggle #QuantFinance #MLEbench #OpenSource #ArtificialIntelligence