✨
AI Summary
- Vladimir Vapnik discusses foundational contributions to machine learning including support vector machines and VC theory, with over 200,000 citations
- Explores the role of predicates and invariants in understanding intelligence and learning systems
- Reflects on career spanning Soviet Institute of Control Sciences, AT&T, NEC Labs, Facebook AI Research, and current work at Columbia University