A life simulation that combines a neural network with genetic algorithms. Each bacterium learns from its environment and evolves behaviors that improve its ability to find food.
Inteligência Artificial
Bacteria — Self-Learning Simulator
A life simulation in which bacteria learn to sense their environment and find food using neural networks and genetic algorithms.
PRÓXIMO / TRABALHOS RELACIONADOS
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Arraste / role para explorar
Inteligência Artificial
CnnLungDisease Detection
Adapted a pretrained ResNet18 for chest X-ray classification across 7 lung diseases by converting the model to grayscale input and fine-tuning end-to-end on Kaggle data.
PyTorchResNet18Transfer LearningMedical Imaging
Inteligência Artificial
CnnMelanoma Detection
Custom CNN built from scratch to classify skin lesions as melanoma (0/1), validated checkpoint-by-checkpoint and designed for mobile-ready deployment.
PyTorchCNNBinary ClassificationConfusion Matrix
Inteligência Artificial
MachineLearning Algorithm Comperasion with R
Cleaned and combined US economic indicators (1960–2020) and compared Linear Regression vs Random Forest for inflation prediction using MSE on a time-based split.
RData CleaningRegressionRandom Forest
Inteligência Artificial
RD-05
An original quadruped robot platform I designed from mechanics to software and led technically, reaching the top 15 in the Teknofest Disaster category.
RoboticsEmbedded SystemsAI IntegrationRemote Control