Computer Vision: Teaching Machines to See and Interpret the World
How AI systems process images — from raw pixels to recognizing objects, faces, and handwriting — and where computer vision is already quietly at work in classrooms.
Porttx Blog
Insight on Artificial Intelligence & Education
Long-form, original writing on how AI works, and how it's reshaping teaching and learning — from the team building applied AI for real classrooms and institutions.
Generative AI and Large Language Models: How Tools Like Modern AI Assistants Actually Work
Demystifying large language models — how they are trained, why they predict text one piece at a time, and what "generative AI" really means in practice.
Natural Language Processing: How AI Understands and Generates Human Language
From tokenization to attention mechanisms — a look at the field of NLP and how machines went from barely parsing sentences to writing fluent, coherent text.
Neural Networks and Deep Learning: The Engine Behind Modern AI
How artificial neural networks are structured, why "deep" learning changed everything, and what actually happens inside a model when it makes a prediction.
Machine Learning Explained: How Computers Learn From Data
A grounded look at how machine learning actually works — from labeled examples and training loops to the difference between supervised, unsupervised, and reinforcement learning.
What Is Artificial Intelligence? A Clear Introduction for Educators and Learners
A plain-language walkthrough of what AI actually is, the difference between narrow and general intelligence, and why the term gets so easily misused.