Medical imaging has become one of the most critical pillars of modern healthcare to provide insights into diagnosis, treatment planning, and disease management. However, the very success of imaging ...

This technical FAQ discusses how AI thermal models compare to physics-based approaches and which deep learning architectures ...

At BIT Mesra in Ranchi, a three-woman team has trained AI to detect and analyse lunar craters. The ISRO-backed work could support crater dating, navigation planning and future Moon landing missions.

AI in Pathology Market OverviewThe global AI in pathology market is undergoing rapid expansion, driven by transformative changes across diagnostic medicine and healthcare technology. The market is ...

The team built a DenseNet – a densely connected convolutional neural network – that learns hierarchical features directly ...

A new explainable deep learning framework could help greenhouse operators forecast crop yields and energy use more accurately while showing which environmental factors drive those predictions, ...

The new Lord Howe Island lagoon habitat map project relied on a process that used AI trained to interpret imagery based on ...

Researchers at the University of California, Los Angeles (UCLA) have developed a novel image projection system that delivers ...

Learn six AI prompts for restoring, colorizing, sharpening, and repairing old photos using ChatGPT, Google Gemini, or similar ...

When a person goes into deep sleep, waterlike fluid circulates around the brain, washing away metabolic waste that is linked ...

Donald Trump is on TikTok doing his morning routine. “Get ready with me for a big day 💄🇺🇸,” reads the caption, as the president holds a makeup brush to his cheek. The scene is a still, ostensibly a ...

For decades, doctors and researchers have faced a persistent challenge in medical imaging: seeing deep into the body often means sacrificing fine detail, while sharper images typically can’t reach as ...