Realizing such approach on a multicamera surveillance system for real-time application can dramatically increase the hardware cost. This paper presents a hardware-oriented foreground detection that is ...

The product design company is giving LLMs and agentic coding tools like Copilot in VS Code and Claude Code more context about how designs are created in Figma via a new Dev Mode Model Context ...

This isn’t a distant dream—it’s the promise of the Model Context ... systems that can act independently and deliver tangible results. You’ll learn how its modular and pluggable ...

The system includes scripts for data collection, preprocessing, model training, and real-time anomaly detection, exposing results via a Prometheus exporter. collection_periods_iso: (Recommended) A ...

In this paper, we introduce BiBE, a malware detection architecture based on self-supervised learning ... Moreover, we also evaluate the model on a public dataset. The evaluation shows that the BiBE ...

Model Context Protocol, or MCP, is arguably the most powerful innovation in AI integration to date, but sadly, its purpose and potential are largely misunderstood. So what's the best way to really ...

MCP and CDP combine to replace prompt stuffing, enabling real-time, precise and compliant AI – ushering in a smarter, scalable future for context In the era of overstuffed prompts, the first rush to ...

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released ... early_stopping_use_ema Whether to track improvements using the EMA version of the ...