Abstract: Moving object segmentation (MOS) provides a reliable solution for detecting traffic participants and thus is of great interest in the autonomous driving field. Dynamic capture is always ...
Canada must pivot from exporting raw energy to exporting secure computation. We should not merely sell the uranium; we should ...
Tesla-SolarCity déjà vu? Learn why SpaceX is buying xAI, the strategy behind Musk’s ecosystem and IPO plans, plus what it means for AI and space.
RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...
As well, in a bid no doubt to offset the reduced volumes, Mercedes is nudging S-Class further upmarket toward Rolls-Royce exclusivity. To that end, the 2027 model adds multiple new paint, leather and ...
Two critical vulnerabilities in the n8n AI workflow automation platform allow attackers to gain complete control over instances. The leaks allow sensitive ...
Two vulnerabilities in the n8n workflow automation platform could allow attackers to fully compromise affected instances, access sensitive data, and execute arbitrary code on the underlying host.
A critical sandbox escape vulnerability in Grist-Core has been disclosed that allows remote code execution (RCE) through a ...
Tools can help check the accessibility of web applications – but human understanding is required in many areas.
DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
Abstract: In recent years, UAV object tracking has provided technical support across various fields. Most existing work relies on convolutional neural networks (CNNs) or visual transformers. However, ...
It’s 2026, yet many SOCs are still operating the way they did years ago, using tools and processes designed for a very different threat landscape. Given the growth in volumes and complexity of cyber ...
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