Recent Posts
Making AI Education More Accessible
Reflecting on five years of teaching machine learning at Stanford and lessons learned about making complex AI concepts accessible to diverse student populations.
Highlights from NeurIPS 2024
Key takeaways from NeurIPS 2024, including emerging trends in federated learning, sustainable AI, and the growing focus on AI safety and alignment.
Federated Learning Meets AutoML
Exploring the intersection of federated learning and automated machine learning, and how privacy-preserving techniques are reshaping ML development.
The Carbon Footprint of AI Research
A critical look at the environmental impact of large-scale AI experiments and practical strategies for more sustainable research practices.
Getting Started with Neural Architecture Search
A beginner-friendly guide to neural architecture search, covering fundamental concepts, popular algorithms, and hands-on implementation tips.
Advice for Aspiring AI Researchers
Practical advice for students considering a career in AI research, including choosing research topics, finding mentors, and navigating academia.