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Research of the segment of artificial intelligence (AI) groups Target revealed an interesting and controversial possibility: ways to determine the location and movements of a person through an
Research of the segment of artificial intelligence (AI) groups Target revealed an interesting and controversial possibility: ways to determine the location and movements of a person through an Internet connection, using Wi-Fi. Combining these technologies with machine learning will improve the feature known as tight pose to scan up to 24 areas of the human body, creating an image that matches the observed target.
According to the company, thisFacebook’s real-time approach to mapping all human pixels from 2D images to a 3D model based on body surface“.
It is “Facebook’s real-time approach to mapping all human pixels from 2D images into a 3D model based on the surface of the body.”
Currently, DensePose is open source, capable of converting Wi-Fi signals reflected from the human body into coordinates, creating a computer-decoded visual representation. According to the study:
“We have developed a deep neural network that maps the phase and amplitude of Wi-Fi signals to UV coordinates in 24 human regions (…) The results of the study show that our model can estimate the density of poses of multiple people with comparable visual characteristics. to image-based approaches using Wi-Fi signals as the only input. This paves the way for low-cost, widely available, privacy-preserving human detection algorithms.”
The researchers argue that this would be a cheap way to build equipment based on the concept of spatial scanning, such as ABOUT News. The AI R&D market has grown in recent years, and open initiatives such as the famous ChatGPTillustrate the potential of these resources, which are still far from the peak of their respective potential.
Open initiatives such as the famous ChatGPT illustrate the potential of these resources, which are still far from the peak of their respective potential.
Experts are concerned about the information obtained through these AIs because many of these technologies have the ability to obtain data, images and monitoring very easily. Concerning tight poseuntil the publication of this article, no predictions were made regarding its widespread and/or commercial use, despite the fact that it has been in development since 2018.
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Microsoft announces new Bing and Edge browser with ChatGPT integration
The CEO rejoices at the news and says the quest is over, time for transformation
Source: Estadão, DensePose.
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Source: Mundo Conectado
Donald Salinas is an experienced automobile journalist and writer for Div Bracket. He brings his readers the latest news and developments from the world of automobiles, offering a unique and knowledgeable perspective on the latest trends and innovations in the automotive industry.
