Signature neural patterns may help predict recovery from traumatic brain injury

After traumatic brain injury (TBI), some patients may recover completely, while others retain severe disabilities. Accurately ...
People

Role Model Reveals the Hilarious Text Message Charli xcx Sent Him After Being His Sally on Saturday Night Live (Exclusive)

Role Model is featured in PEOPLE's first Sexiest Man Alive centerfold Role Model tells PEOPLE about having Charli xcx be his Sally on Saturday Night Live He reveals the funny text she shared with him ...
The New York Times

Study Finds Evidence That Text-Based Therapy Eases Depression

A large-scale randomized trial of texting therapy concluded that its outcomes were as good as video sessions in treating depression. By Ellen Barry One of the most popular mental health innovations of ...
Frontiers

Hybrid recurrent with spiking neural network model for enhanced anomaly prediction in IoT networks security

Introduction: As the number of Internet of Things (IoT) devices grows quickly, cyber threats are becoming more complex and increasingly sophisticated; thus, we need a more robust network security ...
Scientific Research Publishing

Zhang, X., Zhao, J.B. and LeCun, Y. (2015) Character-Level Convolutional Networks for Text Classification.

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...
IEEE

A Performance Evaluation of Transformer Models and Recurrent Neural Networks Models in Efficient Text Classification Tasks

Abstract: This study provides a comparative evaluation of transformer models and Recurrent Neural Networks (RNNs) for text classification. As the complexity of the text data is growing and more ...
IEEE

A Network Traffic Anomaly Classification Model Based on Self-Attention Mechanism and Convolutional Gated Recurrent Unit

Abstract: In the context of accelerated digital transformation, cybersecurity has become a global strategic issue. With the rapid growth of network traffic and the evolving complexity of attack ...
Phys.org

Researchers develop neural network for large-scale celestial object classification

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...
Frontiers

Deriving equivalent symbol-based decision models from feedforward neural networks

1 KNDS Deutschland GmbH & Co. KG, Munich, Germany 2 Institute for Software Technology, University of the Bundeswehr Munich, Neubiberg, Germany Artificial intelligence (AI) has emerged as a ...