Quantum computers promise enormous computational power, but the nature of quantum states makes computation and data ...

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

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.

Recently, some computer scientists have started exploring the possibility of modeling feature learning in DNNs using frameworks and approaches rooted in physics.

Currently, the traffic speed prediction model based on deep learning has become a research hotspot in the field of transportation. With the rapid development of deep learning and the improvement of ...

Advanced persistent threat groups and malicious actors are increasingly using AI and other sophisticated tools to create tailored malware variants that evade detection in 2025, making the ...

Methods A multimodal deep-learning model with transformers was developed for real-time recurrence prediction using baseline clinical, pathological, and molecular data with longitudinal laboratory and ...

Traditional intrusion detection systems (IDS) often face difficulties in identifying these new and evolving threats since they rely on pre-established attack patterns or signatures. This study aims to ...

Android OS is an enticing target for attacks due to its popularity. Malware attacks are prevalent and growing. Further, the attack pattern is changing rapidly to avoid intrusion detection. Thus, ...

Methods: This study proposes a novel approach for ASD detection utilizing deep learning and advanced feature selection techniques. A hybrid model combining Stacked Sparse Denoising Autoencoder (SSDAE) ...