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Generative AI for Research Guide

Welcome to MIDAS Generative AI Guide – your go-to resource for exploring the power of Generative AI and AI-assisted research. In a rapidly evolving research landscape, AI transforms how we approach discovery, analysis, and problem-solving. Whether you’re conducting complex simulations, analyzing academic papers, generating new data, or streamlining coding tasks, AI is becoming an essential tool for modern researchers across disciplines.

Overview
Guiding Principles
Research Tools
User Guide
Guided Examples

Overview

This site is designed to help you understand and effectively use Generative AI models for research. We cover three key areas of Generative AI-driven research support:

  • Generative AI for Scientific Discovery – An overview of how cutting-edge models like GANs, diffusion models, and graph networks are driving innovation in fields like biology, physics, and materials science.
  • Deep Research Tools – Explore advanced generative AI models like ChatGPT, Perplexity, and Consensus that combine real-time search with citation tracking, enhancing accuracy and transparency in research.
  • General Research Methods – Discover generative AI tools for coding, visualization, and creative tasks that can improve research productivity and efficiency.

Generative AI is not here to replace researchers – it’s here to empower them. The tools and methods outlined here are designed to complement your expertise, helping you uncover insights, accelerate discovery, and elevate the quality of your work. Dive into the resources, explore the guides, and start integrating generative AI into your research workflow today.