At first glance, the series of warped clown faces in a collision of primary colours appears to be the work of a painter - ...

Data scientists are in high demand—and for good reason. Companies rely on them to turn large, messy datasets into insights ...

The collaborative infrastructure innovation delivers nearly half a million Trainium2 chips in record time, with Anthropic scaling to more than one million chips by the end of 2025. Project Rainier, ...

Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...

Image Forgery Detection is a web-based application designed to detect and analyze potential image manipulations and forgeries. Developed in Python using the Django framework, it provides an easy and ...

Abstract: Image recognition, powered by machine learning (ML), has significantly advanced applications in both dance movement recognition and robotic vision. This review examines key ML techniques, ...

Learn how to build a digit recognition model from scratch using PyTorch! This beginner-friendly deep learning project walks you through loading the MNIST dataset, creating a neural network, training ...