CNN's animated data guru Harry Enten was flabbergasted by President Donald Trump saying he "loves inflation." On June 10, inflation crept above 4% for the first time in three years, thanks in large ...

This repository contains the implementation, experiments, and reproducibility materials for a deep learning project on adversarial robustness in image classification. The project studies how ...

Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...

The last year has been big for Google’s AI efforts. Its rapid-fire model releases have brought it to parity with the likes of OpenAI and Anthropic and, in some cases, pushed it into the lead. The Nano ...

Physics-aware machine learning integrates domain-specific physical knowledge into machine learning models, leading to the development of physics-informed neural networks (PINNs). PINNs embed physical ...

The goal is to show how neural networks forget old tasks when trained sequentially (catastrophic forgetting), and how replay-based methods can reduce that forgetting.

Abstract: Histopathology is crucial for diagnosing many diseases as early as possible, especially cancer. It involves looking at tissue samples under a microscope and checking if something is wrong.

Image classification is an important subset of machine learning and computer vision that has served as the backbone of various applications in recent years, most notably robotics and autonomous ...