DeepSeek, the Chinese artificial intelligence research company that has repeatedly challenged assumptions about AI development costs, has released a new model that fundamentally reimagines how large ...

Traditional lossy compression algorithms like JPEG are not data-specific and may not achieve the best possible compression rates for datasets where images are semantically related. This project ...

(A) Illustration of a convolutional neural network (NN) whose variational parameters (T) are encoded in the automatically differentiable tensor network (ADTN) shown in (B). The ADTN contains many ...

Although there has been significant pushback from artists regarding the proliferation of AI design tools and the content used to train generative models, the companies making the software for creative ...

The SQZ codec provides a low-complexity solution for seamless scalability from lossy to fully lossless image compression, allowing for a single compressed image representation to be decoded at the ...

Optical fibers are fundamental components in modern science and technology due to their inherent advantages, providing an efficient and secure medium for applications such as internet communication ...

Morphological profiling has recently demonstrated remarkable potential for identifying the biological activities of small molecules. Alongside the fully supervised and self-supervised machine learning ...

ABSTRACT: This review focuses on the recent advancements in neuroimaging enabled by deep learning techniques, specifically highlighting their applications in brain disorder detection and diagnosis.

Background: High-quality cardiopulmonary resuscitation (CPR) is crucial for improving the prognosis of out-of-hospital cardiac arrest (OHCA) patients. The quality of chest compressions may vary during ...