An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

The three steps to better bot detection using AI and machine learning include analyzing all available data in the Identity Trust Global Network, using AI and machine learning to detect suspicious ...

With this increase in fraud opportunities and pressures, data automation and machine learning have become invaluable tools to detect fraud at every level of an organization. Governance, risk and ...

Most people are familiar with the idea that machine learning can be used to detect things like objects or people, but for anyone who’s not clear on how that process actually works should chec… ...

Safe Pro Surpasses 1,000,000 Drone Images Analyzed Milestone Using Its Novel AI Algorithms & Machine Learning Models on AWS Cloud Advancing Small Object Threat Detection ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students’vocabulary learning. We developed a system that utilized strategies ...