Ruby 4.0: A lot of restructuring under the hood, few new features

The new major version with a new JIT compiler, a revised parallelization API, and a maturing type system paves the way for ...
IEEE

CenterNet++ for Object Detection

Abstract: There are two mainstream approaches for object detection: top-down and bottom-up. The state-of-the-art approaches are mainly top-down methods. In this paper, we demonstrate that bottom-up ...
Pen Test Partners

Eurostar AI vulnerability: when a chatbot goes off the rails

TL;DR Introduction I first encountered the chatbot as a normal Eurostar customer while planning a trip. When it opened, it ...
IEEE

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

Abstract: Real-time object detection is one of the most important research topics in computer vision. As new approaches regarding architecture optimization and training optimization are continually ...