Do you think you’re good at spotting fake videos, where famous people say things they’ve never said in real life? See how they’re made in this astonishing talk and tech demo. Computer scientist Supasorn Suwajanakorn shows how, as a grad student, he used AI and 3D modeling to create photorealistic fake videos of people synced to audio. Learn more about both the ethical implications and the creative possibilities of this tech — and the steps being taken to fight against its misuse.
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Computers just got a lot better at mimicking our language.
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Something big happened in the past year: Researchers created computer programs that can write long passages of coherent, original text.
Language models like GPT-2, Grover, and CTRL create text passages that seem written by someone fluent in the language, but not in the truth. That AI field, Natural Language Processing (NLP), didn’t exactly set out to create a fake news machine. Rather, it’s the byproduct of a line of research into massive pretrained language models: Machine learning programs that store vast statistical maps of how we use our language. So far, the technology’s creative uses seem to outnumber its malicious ones. But it’s not difficult to imagine how these text-fakes could cause harm, especially as these models become widely shared and deployable by anyone with basic know-how. Read more here: https://www.vox.com/recode/2020/3/4/21163743/ai-language-generation-fake-text-gpt2
Open Sourced is a year-long reporting project from Recode by Vox that goes deep into the closed ecosystems of data, privacy, algorithms, and artificial intelligence. Learn more at http://www.vox.com/opensourced
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Incept Training Academy conducted a course where it asked its geeks to come up with ways to fake one of their devices. The device fingerprint was faked so perfectly that Incept discontinued this device and a new innovative model was introduced. So this is how you Fake it.
Visit www.InceptOnline.com/Training to know more about our GEEKS 🙂