Learn how to use trait bounds in Rust to write flexible and reusable code. This post covers defining trait bounds, combining multiple constraints, using where clauses for readability, and handling Rust’s orphan rule with wrapper types.

Learn how phantom types in Rust enable compile-time guarantees without runtime overhead. This post explains how to use PhantomData to track type-level information, enforce state transitions, and create safer, more robust APIs.

Discover how to use generics in Rust to create flexible structs, enums, and functions. This post covers defining generic types, implementing shared functionality, and providing specialized behavior for specific types.

Exploring additional examples of effective and ineffective applications of machine learning.

Notes on the capabilities and limitations of artificial intelligence.

Notes on the basics of Artificial Intelligence and Machine Learning.