A completely connected neural network built using only NumPy and trained on the Fashion MNIST dataset. Every forward/backward pass, gradient, and weight update is done by hand without external ...

Image classification constitutes a fundamental problem in computer vision, with applications in healthcare, security, autonomous systems, and industrial automation. While modern deep learning models ...

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

New AI image generator runs using 10 times fewer steps than today's best models — and it's coming to smartphones and laptops Researchers have developed an AI image generator that produces images in ...

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 ...

CNN senior data analyst Harry Enten warned Democrats on Wednesday that Republicans have a strong likelihood of holding onto the majority of governorships nationwide after the 2026 midterm elections.

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.

It’s all hands on deck at Meta, as the company develops new AI models under its superintelligence lab led by Scale AI co-founder, Alexandr Wang. The company is now working on an image and video model ...

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.