Choosing AI in 2026 is no longer about picking the most powerful model; it is about matching capabilities to tasks, risks, ...

Prithvi-EO-2.0 is based on the ViT architecture, pretrained using a masked autoencoder (MAE) approach, with two major modifications as shown in the figure below. Second, we considered geolocation ...

This project contains implementations of simple neural network models, including training scripts for PyTorch and Lightning frameworks. The goal is to provide a modular, easy-to-understand codebase ...

Abstract: We introduce Adversarial Sparse Teacher (AST), a robust defense method against distillation-based model stealing attacks. Our approach trains a teacher model using adversarial examples to ...

This year has had no shortage of alarming Chinese espionage efforts targeting the United States that were uncovered by government officials. 2025 saw the conviction of a former active-duty military ...