Advanced AI Research & Development

Exercise 1: Design an Autonomous Research System#

Create a research automation system for a specific scientific domain:

1. Choose a research area (e.g., drug discovery, materials science)
2. Design the system architecture with appropriate AI components
3. Implement key algorithms for experiment design and analysis
4. Develop evaluation metrics for research quality

Exercise 2: Contribute to Open-Source AI#

Make a meaningful contribution to an open-source AI project:

1. Select a project aligned with your interests (Hugging Face, PyTorch, etc.)
2. Identify areas for improvement or new features
3. Implement your contribution following best practices
4. Submit pull requests and engage with the community

Exercise 3: Implement Federated Learning#

Build a federated learning system for collaborative research:

1. Design privacy-preserving algorithms for distributed learning
2. Implement secure aggregation protocols
3. Test with simulated multi-party scenarios
4. Evaluate privacy guarantees and model performance