Learn how to build a perceptron from scratch in Python! This tutorial covers the theory, coding, and practical examples, helping you understand the foundations of neural networks and machine learning.

An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence ...

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...

Abstract: Arbiter physical unclonable function (APUF) is a hardware security primitive that generates security keys by utilizing unavoidable process variations during chip manufacturing. However, the ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Abstract: This repository contains all computational code, simulations, and visualizations exploring the paper's proposed geometric framework, which suggests relationships for 23 physical quantities ...

This project provides a modular framework for simulating and visualizing different types of cellular automata, with a focus on exploring emergent behaviors, chaotic systems, and complex ...

Course-based ideological and political education (CBIPE) serves as a vital pathway for fulfilling the fundamental mission of fostering virtue through education. Simulation-based experimental teaching, ...