Deep learning approaches, particularly convolutional neural networks (CNNs) and other architectures, were used in 49 papers. These models excel at image-based tasks such as land cover classification, ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

Researchers tested the tool in 397 patients with clinically node-positive, HPV-driven oropharyngeal squamous cell carcinoma ...

Announces 14 innovations to enhance workspaces, AI workflows, remote device support, and smart printing ...

One of the key findings is that raw accuracy in laboratory conditions does not guarantee stability in deployment. The study ...

Objectives Structural MRI of the brain is routinely performed on patients referred to memory clinics; however, resulting ...

Researchers from the Yunnan Observatories of the Chinese Academy of Sciences (CAS) have unveiled a neural network-based ...

Convolutional neural networks, or CNNs, are the workhorses behind many of AI's greatest hits, like spotting faces in photos, ...

Unlock the power of AI face shape detectors and photo enhancers to quickly improve photos and personalize your style with ease.

A research team has developed a powerful unsupervised deep learning network that can accurately separate wood and leaf components in 3D point clouds of trees—without the need for labor-intensive data ...

Aging of the brain is characterized by deleterious processes at various levels including cellular/molecular and ...

These AI tools are specifically tailored to address the unique challenges and opportunities within the healthcare industry, ranging from medical imaging and diagnostics to clinical decision support ...