Self-supervised AI learns physics to reconstruct microscopic images from holograms

Researchers have unveiled an artificial intelligence-based model for computational imaging and microscopy without training with experimental objects or real data. The team introduced a self-supervised AI model nicknamed GedankenNet that learns from physics laws and thought experiments. Informed only by the laws of physics that universally govern the propagation of electromagnetic waves in space, the researchers taught …

10 Shopping Cart Abandonment Tools That Boost Conversions

A shopper seems to be interested in your product. You can see from your on-site analytics that they’ve visited the same product page three times. Today, they added that product to their online cart—then left your site without completing the transaction.  What happened? That’s a tough question to answer, because there are numerous reasons for …

LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses

Dense 3D reconstruction from RGB images traditionally assumes static camera pose estimates. This assumption has endured, even as recent works have increasingly focused on real-time methods for mobile devices. However, the assumption of one pose per image does not hold for online execution: poses from real-time SLAM are dynamic and may be updated following events …