Categories: AI/ML News

Using a deep neural network to improve virtual images of people created using WiFi signals

A trio of researchers at Carnegie Mellon University has taken the use of WiFi signals to identify people in a building to a new level, through the use of a deep neural network. Jiaqi Geng, Dong Huang and Fernando De la Torre suggest, in a paper they have posted to the arXiv preprint server, that their approach allows for creating images on par with RGB cameras.

What is Deep Learning?

May 17, 2024

In "FAANG"

Neural network trained using a diverse dataset outperforms conventionally trained algorithms

Artificially intelligent neural networks, trained by images and videos available on the internet, can recognize faces, objects, and more. But there's a serious drawback. Teaching machine learning algorithms how to identify people or items by relying solely on the visual library of faces and objects found online underrepresents socioeconomic and…

February 9, 2023

In "AI/ML News"