Image model releases are driving growth for AI mobile apps, generating 6.5x more downloads than traditional model updates, according to a new report from app intelligence provider Appfigures. For ...

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

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.

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 ...

'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images Researchers generated images from noise, using orders of magnitude less energy than ...

CNN is facing social media backlash after a social media user pointed out a perceived disparity in how the outlet framed the economy under President Donald Trump versus former President Joe Biden.

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.