Foundations of AI

Building a clear understanding of the fundamental concepts behind modern AI systems.

Perceptrons

Part 1 of 2 in Foundations of AI

An overview of Rosenblatt’s 1958 perceptron — how it works, where it fails, and its influence on modern neural networks.

— Written 28 July 2025 · Edited 04 August 2025 · Written by Benjamin Clark

Activation Functions

Part 2 of 2 in Foundations of AI

Activation functions explained: their role in neural network learning, evolution from step functions to ReLU and beyond, and why non‑linearity enables deep learning.

— Written 05 August 2025 · Written by Benjamin Clark