The following is a summary of “Advancement and independent validation of a deep learning-based tool for automated scoring of ...

Researchers sought to investigate the efficacy of a handcrafted ultrasomic model vs a deep-learning-based radiomic model in identifying infarcted myocardium using ultrasound video images.

After fine-tuning, the VGG16 convolutional neural network outperformed other deep learning models in 2 of 3 key ...

Abstract: WiFi-based passive non-contact sensing is widely regarded as a leading technology in wireless sensing, owing to its extensive application scope and favorable growth outlook. Nevertheless, ...

This project is an AI-powered Security Information and Event Management (SIEM) system designed for real-time threat detection and response. Using Convolutional Neural Networks (CNN), Natural Language ...

While deep learning models ... we proposed MDCNN (Multi-teacher Distillation-based CNN), which leverages knowledge distillation with BERT and BiGRU as teacher models and TextCNN as the student model.

Moulton brazenly proposed during a CNN interview on Saturday. 'Does he want to take over India, because they border China? Does he want to take over Mongolia, kind of in between the two?' ...

Matthew Chapman is a video game designer who attended Rensselaer Polytechnic Institute and lives in San Marcos, Texas. Before joining Raw Story, he wrote for Shareblue and AlterNet, specializing ...

Chinese artificial intelligence (AI) star DeepSeek has upgraded its open-source V3 large language model by adding parameters and improving capabilities in coding and solving mathematical problems.

Microsoft is introducing a “deep research” AI-powered tool in Microsoft 365 Copilot, its AI chatbot app. There’s been a raft of deep research agents launched recently across chatbots ...

(CNN) — Five key division leaders at the US Centers for Disease Control and Prevention are leaving the public health agency as it braces for cuts that could affect as much as a third of its ...

the convolutional neural network (CNN) that many credit with transforming the AI field in 2012 by proving that "deep learning" could achieve things conventional AI techniques could not.