This case study examines how vulnerabilities in AI frameworks and orchestration layers can introduce supply chain risk. Using ...
Highlights. Compared to our conference version, we achieve new SOTA in the field of COD via the two well-elaborated sub-modules, including neighbor connection decoder (NCD) and group-reversal ...
Python has become one of the most popular programming languages out there, particularly for beginners and those new to the hacker/maker world. Unfortunately, while it’s easy to get something up and ...
Visualization examples of YOLOv10-N/S, YOLO11-N/S, YOLOv12-N/S, and YOLOv13-N/S. Representative visualization examples of adaptive hyperedges. The hyperedges in the first and second columns mainly ...
Abstract: Software vulnerabilities pose critical risks to the security and reliability of modern systems, requiring effective detection, repair, and explanation techniques. Large Language Models (LLMs ...
Researchers at Google’s Threat Intelligence Group (GTIG) have discovered that hackers are creating malware that can harness the power of large language models (LLMs) to rewrite itself on the fly. An ...
AI Microsoft CEO warns that we must 'do something useful' with AI or they'll lose 'social permission' to burn electricity on it AI Steam updates AI disclosure form to specify that it's focused on ...
An ordinance and a resolution approved by Portland City Council on Wednesday aim to strengthen the city’s sanctuary status and use all available legal resources to resist deployment of any federal ...
Abstract: Advanced cognition can be measured from the human brain using brain–computer interfaces (BCIs). Integrating these interfaces with computer vision techniques, which possess efficient feature ...
The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...
Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...