ESET uncovers AI-powered PromptLock ransomware using OpenAI gpt-oss:20b model, complicating detection with variable Lua ...

This research focuses on malware detection and analysis using deep learning techniques through Fully Connected Neural Network (FCNN) to enhance detection accuracy and reduce false alarm rates. The ...

OXNARD, Calif. -- The Dallas Cowboys broke training camp on Thursday. How Coach Brian Schottenheimer conducted business compared with his predecessor, Mike McCarthy, was vastly different.

We developed a deep convolutional neural network (DCNN)-based method to assess cherry tree health using leaf images. We constructed the DCNN model on Keras with TensorFlow, preprocessing the original ...

Studies have proposed plant disease detection models based on optimized CNNs [17]- [20]. A hybrid deep learning model combining CNN and optimized recurrent neural network was developed for precise ...

A cybersecurity platform, under development for eight years at Sandia National Laboratories to detect and analyze advanced malware threats, is now publicly available, giving defenders in the public ...

As the population of older adults continues growing, so will the need for cost-effective approaches to early dementia detection. Deep learning approaches using patient speech samples show promising ...

Microsoft unveils AI system Project Ire to automate malware detection, reducing analyst workload and boosting accuracy.

Microsoft unveils Project Ire, an autonomous AI system that reverse-engineers software to detect and block malware without human input.