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
Deep Neural Network
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
