Medicine is rapidly evolving from statistical, evidence-based approaches to predictive, genotype-directed care, driven by ...

By 2050, urban centers will house nearly 70% of the global population. Transitioning to localized food production via Urban Agriculture (UA) including ...

Researchers have developed light-transmitting hydrogel fibers that are just hundreds of micrometers in diameter. With further ...

Aim To implement a deep learning-based segmentation algorithm to quantify reticular pseudodrusen (RPD) and drusen volumes on optical coherence tomography (OCT) and investigate their association with ...

Endoscopy-based deep learning algorithms achieve higher sensitivity, specificity, and overall diagnostic accuracy than endoscopists for early ESCC detection.

Artificial Intelligence (AI) is increasingly revolutionizing thoracic oncology by enabling new ways to diagnose, treat, and monitor patients with thoracic ...

DeepSeek V4 architecture uses sparse attention to cut inference costs 73% at one-million-token contexts, but a NIST ...

Abstract: The explosion of machine learning (ML) model size has led to its execution on distributed clusters at a large scale. Many works have tried to optimize the process of producing collective ...

Training today’s largest neural networks is limited by backpropagation’s sequential updates and Graphics Processing Unit (GPU) bound compute and energy, slowing scaling. We demonstrate a hybrid ...

The action director Renny Harlin combines two different kinds of disaster movies, with lots of gory shark scenes. By Glenn Kenny When you purchase a ticket for an independently reviewed film through ...

AI systems are far better than people at spotting deepfake images, but when it comes to deepfake videos, humans may still have the edge. That’s the surprising twist from a new study that pits people ...