Initial implementation utilising AARNN principles

MicroAI™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

Reinforcement Learning / Q Learning

A basic tic tac toe game using minimax algorithm

🤖 Neural real estate appraisal calculator is implemented in C programming language. The application is designed to calculate the assessment of real estate using a single neuron 🤖

AtomML™ is an AI engine that can operate on low power edge and endpoint devices. It can learn the pattern of any and all time series data and can be used to detect anomalies or abnormalities, make one step ahead predictions/forecasts, and calculate the remaining life of entities (whether it is industrial machinery, small devices or the like).

Solving missionary cannibal problem using different search strategies in C

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

An innovative and sperimental 64 bit Bare Metal Operative System based on Arm Cortex A53 MPU and developed in ASM/C using ArmV7/ArmV8 Instruction Set Architecture. This project aims to develop a new generation OS that exploit Machine Learning and Artificial Intelligence in order to improve fault rate of high fault rate processes.

some of my programs

Server to play with the Reversi AI https://github.com/marcluque/Reversi-AI

NeverCruncher AI - Bot that solves Neverball levels using Reinforced Learning.

🧠 The Neural converter is implemented in C programming language. The application is designed to transform scores in 5- and 12-point grading systems using a single neuron 🧠

Project for the Artificial Intelligence course @cse.uoi.gr

Artificial Intelligence algorithms.

AI mini projects