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Most People Have No Idea What Is Coming!
Much Less How This Works – It Is Almost Magic!
But the truth is that it is science, and while it is not understandable by those that lack a STEM education, it can be explained.
According to LyrnAI:
The process is based upon what is called “Generative Adversarial Networks” (GAN) which is a relatively new concept in Machine LearningMachine learning Machine learning is a subset of artificial intelligence. Machine learning has the capacity to learn over time without being explicitly programmed. It can ingest a large amount of data and detect patterns and anomalies at scale. Supervised machine learning models are trained on a set of labels, while unsupervised machine learning does not require labeled data., introduced for the first time in 2014.
The goal of GAN is to synthesize artificial samples, such as images, that are indistinguishable from authentic images.
A common example of a GAN application is to generate artificial face images by learning from a dataset of celebrity faces.
While GAN images became more realistic over time, one of their main challenges is controlling their output, i.e. changing specific features such pose, face shape and hair style in an image of a face.
However, these limitations, like all weaponized technology will become easier, faster, and more precise as time goes by. Soon we will never know who is on the screen. Will it be real, a synthesized face from a real person, or an artificial powered by an AIAI Artificial intelligence (AI) is wide-ranging branch of computer science concerned with building smart machines capable of performing tasks that typically require human intelligence. Machine learning is a subset of Artificial Intelligence..
This technology will completely change the face of everything from Politics, to the Evening News, to Personal Communications, to ImpersonationImpersonation An impersonator is someone who imitates or copies the behavior or actions of another. There are many reasons for impersonating someone, such as: part of a criminal act such as identity theft, online impersonation scam, or other fraud. This is usually where the criminal is trying to assume the identity of another, in order to commit fraud, such as accessing confidential information or to gain property not belonging to them. Also known as social engineering and impostors. ScamsScams A Scam is a confidence trick - a crime - is an attempt to defraud a person or group after first gaining their trust through deception. Scams or confidence tricks exploit victims using their credulity, naïveté, compassion, vanity, irresponsibility, or greed and exploiting that. Researchers have defined confidence tricks as "a distinctive species of fraudulent conduct ... intending to further voluntary exchanges that are not mutually beneficial", as they "benefit con operators ('con men' - criminals) at the expense of their victims (the 'marks')". A scam is a crime even if no money was lost.. The gains made against transnational scamming will be lost because of this. Worst still is that scamming will move from being a person (human) to person crime to one that can all be done inside a server powered by AI.
This just further addresses the futility of trying to post photos of scammers (exposing them), since in the near future each one will be uniquely synthesized from different people.
Here Is A Very Detailed Explanation Of How All Of This Works:
[contentcards url=”https://www.lyrn.ai/2018/12/26/a-style-based-generator-architecture-for-generative-adversarial-networks/” target=”_blank”]
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TAGS: SCARS, Future Of Scams, DeepFake, GAN, Generative Adversarial Networks, Machine Learning, Fake Faces,
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