FlappyAI is a project that initially intended to be just a Flappy Bird clone to practice Object-Oriented Programming (OOP) in C++. However, upon finishing it, I felt it could still become something ...

Abstract: Estimating gaze direction often suffers from the presence of distracting, non-gaze-related features within full-face images, which can hinder accurate prediction. In this article, we present ...

A from scratch PyTorch implementation of DDPM and DDIM samplers trained on 2D manifold data. Features a custom linear noise scheduler, sinusoidal time embeddings, and zero external diffusion libraries ...

Abstract: We propose a simple but strong baseline for time series classification from scratch with deep neural networks. Our proposed baseline models are pure end-to-end without any heavy ...

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.

Organoid Intelligence (OI) represents a groundbreaking convergence of biology and technology, aiming to redefine biocomputing using brain organoids—three-dimensional neural structures derived from ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Deep Learning Crash Course: A Hands-On, Project-Based Introduction to Artificial Intelligence is written by Giovanni Volpe, Benjamin Midtvedt, Jesús Pineda, Henrik Klein Moberg, Harshith Bachimanchi, ...

Integrating quantum computing into AI doesn’t require rebuilding neural networks from scratch. Instead, I’ve found the most effective approach is to introduce a small quantum block—essentially a ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...