By now you will have heard everyone saying the same thing; technology is moving at an unprecedented pace. But every now and again, something jumps up that shocks even the most hardened technology enthusiasts.
In this episode, the team discusses two such revelations.
1. Speech to Face - In a paper published recently, researchers from MIT’s Computer Science & Artificial Intelligence Laboratory have proposed a method for learning a face from audio recordings of that person speaking.
2. DNA to Face - An artist was recently able to recreate faces from DNA on forgotten gum and cigarette butts.
Both of these breakthroughs, although very early, will have a profound impact on the field of Forensic Science, as the team delves into the fact we as a society will soon have nowhere left to hide.
Speech to Face:
The goal of the project was to investigate how much information about a person’s looks can be inferred from the way they speak. Researchers proposed a neural network architecture designed specifically to perform the task of facial reconstruction from audio.
They used natural videos of people speaking collected from Youtube and other internet sources. The proposed approach is self-supervised and researchers exploit the natural synchronization of faces and speech in videos to learn the reconstruction of a person’s face from speech segments.
See the full article & results here: https://neurohive.io/en/news/speech2f...
DNA to Face:
Dewey-Hagborg, who describes herself as an “amateur biohacker,” extracted DNA from the butt in a lab and analyzed it. The resulting strings of text gave a series of clues about its owner: sex, ancestry, eye color, physical features. She used the information to create a 3D image and finally ran it off on a 3D printer.
See the full article & results here: https://globalnews.ca/news/2930279/ho...
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The world is changing and so is the way we work. At Rumjog, we provide clients with consulting services to help rethink business. We advise at every stage of the change lifecycle from constructing strategies to solution implementation.
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