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

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.

Microsoft Corp. introduced a new artificial intelligence agent on Tuesday that can analyze and classify malware in the wild at scale, without human intervention. The newly minted AI model, named ...

At Austin’s Alpha School, students spend just two hours a day on academics, led by artificial intelligence tools. New Alpha schools are set to open in about a dozen cities this fall.

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 ...

A new variant of the Konfety Android malware emerged with a malformed ZIP structure along with other obfuscation methods that allow it to evade analysis and detection.

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) ...