AI has successfully been applied in many areas of science, advancing technologies like weather prediction and protein folding ...
In this video, we break down BERT (Bidirectional Encoder Representations from Transformers) in the simplest way possible—no ...
This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...
Quantum Variational Graph Auto-Encoders (QVGAE) represent an integration of graph-based machine learning and quantum computing. In this work, we propose a first-of-its-kind quantum implementation of ...
1 Institute of Cognitive Neuroscience, National Research University Higher School of Economics, Moscow, Russia 2 Department of Learning, Data Analytics and Technology, Section Cognition, Data and ...
ABSTRACT: Drug repositioning aims to identify new therapeutic applications for existing drugs offering a faster and more cost-effective alternative to traditional drug discovery. Since approved drugs ...
To address the challenges of morphological irregularity and boundary ambiguity in colorectal polyp image segmentation, we propose a Dual-Decoder Pyramid Vision Transformer Network (DDPVT-Net). This ...
Visionary has introduced three new wallplate models, including USB-C Bluetooth and Dante integration, debuting at InfoComm 2025. The DuetE5-WP-C wallplate encoder combines USB-C and HDMI inputs into a ...
To better understand how the African elephant-nose fish (Gnathonemus petersii) uses electrical fields to see the world, researchers built an artificial neural network based on recordings from the fish ...
Introduction: Artificial intelligence algorithms can help understand and predict the complex interactions between dietary intake and health outcomes, especially from large datasets. Precision ...