Simplex noise is a gradient noise function developed by Ken Perlin in 2001. It is often used in computer graphics to create natural-looking textures and landscapes. Unlike traditional noise functions, Simplex noise has a more uniform appearance and fewer directional artifacts, making it ideal for simulating organic patterns. The algorithm operates in multiple dimensions, allowing it to generate smooth variations in values across a space. This makes it particularly useful for applications like terrain generation, procedural texture creation, and other scenarios where realistic randomness is needed. Simplex noise is computationally efficient and can produce high-quality results with less visual clutter.