This paper reports a vision-based parking spot monitoring system implemented on Google Coral Edge TensorFlow Processing Unit. The system utilizes videos from available surveillance cameras to ...

In this article, we incorporate clinical knowledge to establish a weakly supervised deep learning framework for automatically estimating the latent fine-grained apnea severity when only coarse-grained ...

What is supervised learning and how does it work? In this video/post, we break down supervised learning with a simple, real-world example to help you understand this key concept in machine learning.

New computer vision system can guide specialty crops monitoring The technology applies an internet of things and artificial intelligence to enhance controlled environment agriculture in advanced ...

As a member of Arm Total Design, integration with the SMCF provides an easy path for CSS customers to leverage our monitoring system with minimal effort. By supporting SMCF, we integrate our deep-data ...

Researchers from Peking University Third Hospital have developed a novel collaborative framework that integrates various semi-supervised learning techniques to enhance MRI segmentation using ...

When it comes to turning FSD Beta into a true self-driving system, Tesla and Musk have been much more vague. Lately, they have focused on using the language of “Supervised” Full Self-Driving.

This study documents the creation of automated, longitudinal, and prospective data and analytics platform for breast cancer at a regional cancer center. This platform combines principles of data ...

Self-supervised learning allows a neural network to figure out for itself what matters. The process might be what makes our own brains so successful.