A workflow monitor is essential for managing complex processes in modern organizations. Supported by intelligent workflow automation, it enables real-time monitoring, helping teams maintain procedural compliance and achieve strong operational efficiency. Without these capabilities, delays, errors, and compliance risks can … Read More
Deep Neural Network
AI safety in autonomous driving systems
Safety debates around autonomous driving often drift into broad claims about whether AI can be trusted. That framing misses the real engineering issue. In practice, many failures come from limits in perception, edge case handling, and system design under degraded … Read More
AI governance in enterprise environments
As AI adoption expands, enterprises are treating model access like any other critical layer in infrastructure. Recent reports, including cases where regulators and state organizations are reviewing or restricting the use of certain external AI models such as OpenClaw in … Read More
Real-Time AI Signal Detection from SETI
The headline result and why it matters In late 2025, the SETI Institute detailed an AI Signal Detection system at the Allen Telescope Array (ATA) that slashed end-to-end processing time by 600×, turning a pipeline that needed ~59 seconds to … Read More
How AI and Computer Vision Transform Retail Security
Retail security is undergoing a transformation. Traditional CCTV cameras and reactive monitoring are no longer enough to safeguard stores, customers, and assets. AI, computer vision, and intelligent AI agents are shaping the future of retail security – turning surveillance into … Read More
Automated Document Processing with AI for Smarter Workflows
Want to see how document automation and AI-driven workflows work in practice? Test them in a safe sandbox and refine governance strategies with DeepXHub. Create a free account Every day, businesses are buried in a mountain of contracts, invoices, and … Read More
DeepSloth: Depth estimation trained on synthetic pose data
We believe that using deep learning and synthetic data can aid a person’s depth estimation task. In this article, we will discuss the details of a relevant dataset generation process and demonstrate the depth estimation results on real data. Why … Read More
Rangefinding, Deep Learning, and Synthetic Data
There is a task: given an image of a person, determine the distance between this person and the camera from which the given image was captured. Terminology and theoretical foundations relevant to this task were discussed in the preface to … Read More
Preface to Depth Estimation
There is a task: given an image of a person, determine the distance between this person and the camera from which the given image was captured. In this article, we will discuss terminology and theoretical foundations relevant to this task. … Read More
How do you train a deep neural network to recognize images?
Data collection Additionally, to classic approaches, synthetic data proves to be a valuable option to quickly add variability, volume, and balance in data. It accelerates object recognition by replacing the need for extensive, time-consuming manual labeling. With synthetics, we create … Read More
