AI gives a clearer picture of functional MRI brain data

Obtaining clearer functional MRI data about the brain and its disorders is possible using artificial intelligence, according ...

Nvidia DLSS 4.5 can now do up to 6x multi frame gen and brings a major boost to upscaling quality

Also new is dynamic frame gen, letting you only experience frame gen when needed, and you can apply these updates to old ...

WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning

Beijing, Jan. 05, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Next-Generation Quantum Convolutional Neural Network Technology for Multi-Channel Supervised Learning ...
C&EN

Leveraging Deep Learning to Address Diagnostic Challenges with Insufficient Image Data

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...
Frontiers

CoastVisionNet: transformer with integrated spatial-channel attention for coastal land cover classification

1 School of Integrated Circuits, Guangdong University of Technology, Guangzhou, China 2 School of Computer Science, Xi'an University of Technology, Xi'an, China Introduction: The rapid advancement of ...
blog

Unlock next level Shorts with new creation tools

We’re sharing some of our newest creation tools to make bringing your ideas to life on YouTube Shorts even easier and more fun. Transform photos into videos: Bring your story to life with Photo to ...
Frontiers

RCTNet: Residual conv-attention transformer network for corn hyperspectral image classification

Classifying corn varieties presents a significant challenge due to the high-dimensional characteristics of hyperspectral images and the complexity of feature extraction, which hinder progress in ...
marktechpost

How Latent Vector Fields Reveal the Inner Workings of Neural Autoencoders

Neural networks are designed to learn compressed representations of high-dimensional data, and autoencoders (AEs) are a widely-used example of such models. These systems employ an encoder-decoder ...
IEEE

PIONet: A Positional Encoding Integrated Onehot Feature-Based RNA-Binding Protein Classification Using Deep Neural Network

Abstract: RNA-binding proteins (RBPs) are pivotal in regulating various biological processes, including RNA splicing and protein translation. Accurate classification of RBPs is crucial for ...