Mind Matters Natural and Artificial Intelligence News and Analysis

TagGenerative Adversarial Networks (GANs)

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Cyber security concept.

The 2020 AI Dirty Dozen Hyped Stories: Countdown by Bradley Center Brain Trust Members

Is AI fundamentally flawed? Can Elon Musk merge man with machines? Will there ever be self-driving cars? Join us as we revisit the top 12 most over-hyped stories in artificial intelligence from 2020 with Robert J. Marks, Jonathan Bartlett, and Eric Holloway. Show Notes Additional Resources

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black car interior \

AI Dirty Dozen 2020 Part III

There are many forces that shape the hyped AI stories we read. Media is everywhere and competition is fierce. Articles with provocative headlines and content are clickbait for the browsing consumer. We’re going to count down the AI Dirty Dozen: the top twelve AI hyped stories for 2020. Join Dr. Robert J. Marks as he discusses some of these stories with Read More ›

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Chat bot concept

#6 A Conversation Bot Is Cool —If You Really Lower Your Standards

A system that supposedly generates conversation—but have you noticed what it says?

Our Walter Bradley Center director Robert J. Marks has been interviewing fellow computer nerds (our Brain Trust) Jonathan Bartlett and Eric Holloway about 12 overhyped AI concepts of the year. From AI Dirty Dozen 2020 Part II. Now here’s #6. A means of generating copy from AI: “GPT-3 Is “Mindblowing” If You Don’t Question It Too Closely So what about the bot that replaces conversation? https://episodes.castos.com/mindmatters/Mind-Matters-114-Jonathan-Bartlett-Eric-Holloway.mp3 Our story begins at “09:03. Here’s a partial transcript. Show Notes and Additional Resources follow, along with a link to the complete transcript. Robert J. Marks: GPT-3. Those are four alphanumeric letters that rhyme. GPT-3. And, there was a headline that says there’s a subreddit populated entirely by AI personifications of other subreddits. First Read More ›

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Watermelon Pacman eating small red round pieces

#7 AI Can Create Great New Video Games All by Itself!

In our 2020 "Dirty Dozen" AI myths: It’s actually just remixing previous games

Our Walter Bradley Center director Robert J. Marks has been interviewing fellow computer nerds (our Brain Trust) Jonathan Bartlett and Eric Holloway about 12 overhyped AI concepts of the year. From AI Dirty Dozen 2020 Part II. Now here’s #7. Computers can create their own video games, no imagination involved! Or maybe… wait … don’t invest just yet … https://episodes.castos.com/mindmatters/Mind-Matters-114-Jonathan-Bartlett-Eric-Holloway.mp3 “Computers can create their own video games” starts at 05:07. Here’s a partial transcript. (Show Notes and Additional Resources follow, along with a link to the complete transcript.) Robert J. Marks: Okay. Number seven. AI can implement video games just by watching. This was from an article called “Learning to simulate dynamic environments with gameGAN.” Eric Holloway (pictured): Yeah but Read More ›

medical-technology-diagnostics-conceptmedicine-doctor-and-stethoscope-working-with-human-lungs-on-a-digital-tabblet-and-ui-virtual-screen-for-treatment-stockpack-adobe-stock.jpg
Medical technology diagnostics concept.Medicine doctor and stethoscope working with Human lungs on a digital tabblet and Ui virtual screen for treatment.

AI Dirty Dozen 2020 Part II

There are many forces that shape the hyped AI stories we read. Media is everywhere and competition is fierce. Articles with provocative headlines and content are clickbait for the browsing consumer. We’re going to count down the AI Dirty Dozen: the top twelve AI hyped stories for 2020. Join Dr. Robert J. Marks as he discusses some of these stories with Read More ›

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Pink Neon sign 'Don't quit'

Are Deepfakes Too Deep for Us? Or Can We Fight Back?

Keeping up with the fakers is becoming more of a challenge

Since 2014, there has been a new twist to misrepresentation in politics: deepfakes—computer-generated images that seem quite real. Adam Garfinkle of Singapore’s Nanyang Technological University explains how the technology, generative adversarial networks (GANs), works: A GAN operator pits a generator (G) against a discriminator (D) in a gamelike environment in which G tries to fool D into incorrectly discriminating between fake and real data. The technology works by means of a series of incremental but rapid adjustments that allows D to discriminate data while G tries to fool it. Adam Garfinkle, ““Disinformed”” at Inference Review Once the problem is reduced to a giant calculation, a giant computer learns much more quickly than the rest of us. And it can then Read More ›

New York, NY - MARCH, 2019: Deepfake Face Manipulation of Asian Male

The AI Revolution Has Come for Stock Art

But we'll still need photographers and models

The new tools allow for a level of customization not previously available. They also allow for a level of anonymization.

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