Self-IntroductionNice to meet you. I am Saito, and I joined Morgenrot in September 2026.I have worked as an infrastructure ...
An end-to-end image classification project using PyTorch, a Convolutional Neural Network (CNN), and FastAPI to classify images into 10 CIFAR-10 classes.
In the summer of 2026, AI escaped its "cage" at least four times.In July 2026, an AI escaped from its testing environment.The ...
Potholes can cause accidents, vehicle damage, and unsafe road conditions. This project uses image classification to automatically identify whether a road image contains a pothole.
Plants are constantly talking to us through light. When chlorophyll absorbs sunlight to power photosynthesis, a small ...
Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...
Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard remote-sensing indices,and a gradient boosting ...
Deep learning has quietly become one of the most powerful tools in the fight against biodiversity loss, according to a ...
Although the CNN ensemble achieved slightly higher classification accuracy, this result should be interpreted together with the computational efficiency analysis presented in Section 4.4, where ...
The combination of Artificial Intelligence and multimodal medical data in real clinical scenarios ...
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