Mind Matters Natural and Artificial Intelligence News and Analysis

TagNeural networks

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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 00:01:10 | Introducing Jonathan Bartlett 00:01:37 | Introducing Dr. Eric Holloway 00:02:00 | #12: “The way…

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silhouette of virtual human on abstract technology 3d illustration

George Gilder: An Economic Genius Talks About Gaming AI

George Gilder talks to Robert J. Marks about his book Gaming AI: Why AI Can’t Think but Can Transform Jobs. Show Notes 00:00:45 | Introducing George Gilder 00:03:30 | Is AI a new demotion of the human race? 00:04:59 | The AI movement 00:06:39 | DeepMind and protein folding 00:11:42 | Code-breaking in World War II 00:13:50 | Interpreting between…

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explosion of a filament light bulb

AI Smash Hits 2020 Part I

An ultimate test of a successful technology is whether it has been reduced to practice. Has it made a financial impact on the market? Has it been adopted by the very picky US military? Has it changed lives? We’re going to count down the AI Smash Hits: the top ten AI success stories for 2020. Join Dr. Robert J. Marks as he…

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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…

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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…

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Big data analytics through machine learning, Artificial Intelligence concept background, Using deep learning algorithms for neural network data analysis, Abstract AI 3d illustration

AI Dirty Dozen 2020 Part I

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…

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schematic of human brain and communication via circuit-board, artificial intelligence

George Gilder on Superintelligent AI

George Gilder and Robert J. Marks discuss the human brain, superintelligent machines, artificial intelligence, and George Gilder’s new book Gaming AI: Why AI Can’t Think but Can Transform Jobs (which you can get for free here). Show Notes 00:29 | Introducing George Gilder 01:00 | An “Indian summer” in AI? 03:45 | Superintelligence 06:04 | The future of computing technology…

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Entrance gate to Persepolis Persia Iran Gate of All Nations

How Much Can New AI Tell Us About Ancient Times?

An ambitious new project hopes to use the predictive text that cell phones use to unlock their stories

Many researchers hope that AI will leading to a“golden age” of discovery for lost languages, hard to decipher writings, and badly damaged Biblical scrolls. Algorithms can chug through vast numbers of possibilities of interpretation, presenting the scholar with probabilities to choose from. But even powerful algorithms have their work cut out for them. For example, of the hundreds of thousands of clay (cuneiform) tablets that survive from an ancient part of the Near East called Mesopotamia, many are damaged. We may know the language but we don’t know what’s missing from the text and what difference the missing part makes to what is being said. Experts try to fill in the missing parts but guessing at all the possibilities is…

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close-up view of robot playing chess, selective focus

Bingecast: Robert J. Marks on the Limitations of Artificial Intelligence

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about nature and limitations of artificial intelligence from a computer science perspective including the misattribution of creativity and understanding to computers. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this…

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An AI Flash From the Past

Artificial intelligence has been in the news for a long time. Robert J. Marks airs one of his older interviews with Jim French on KIRO Radio to show the similarity to today’s reporting on artificial intelligence. Mind Matters News appreciates the permission of Jim French and KIRO Radio in Seattle to rebroadcast this interview. Show Notes 01:08 | Do computers…

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Bingecast: Is Cheese Consumption Causing Deaths from Tangled Sheets?

Those dealing with data must always remember “If you torture data long enough, it will confess to anything.” The answers that computers give must themselves be questioned. Robert J. Marks and Gary Smith address artificial intelligence, spurious correlations, and data research on Mind Matters. Show Notes 01:34 | Introduction to Gary Smith, the Fletcher Jones Professor of Economics at Pomona…

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The Unexpected and the Myth of Creative Computers – Part II

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the misattribution of creativity and understanding to computers. This is Part 2 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast on Mind Matters. Show…

Beautiful mandarin duck on the frozen lake in a park

Just a light frost—or AI winter?

It’s nice to be right once in a while—check out the evidence for yourself

About a year ago, I wrote that mounting AI hype would likely give way to yet another AI winter. Now, according to the panelists at “the world’s leading academic AI conference” the temperature is already falling.

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Happy African American guy in VR glasses

Gee-Whiz Tech and AI Reality – Part I

Robert J. Marks talks with Larry L. Linenschmidt of the Hill Country Institute about the nature and limitations of artificial intelligence from a computer science perspective. This is Part 1 of 2 parts. Other Larry L. Linenschmidt podcasts from the Hill Country Institute are available at HillCountryInstitute.org. We appreciate the permission of the Hill Country Institute to rebroadcast this podcast…

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We Built the Power Big Social Media Have Over Us

Click by click, and the machines learned the patterns. Now we aren’t sure who is in charge

We’re stuck, working for free, training the Web giants’ ML systems to reap benefits for them while enduring (assuming we notice) the downsides.

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Helmeted police officers photographed from behind during a protest

Can AI Predict and Prevent Political Unrest?

The 1996 Democratic Convention tried neural networks but discovered a hidden flaw

The police union’s 1996 objection to fingering specific officers as violence risks without a detailed explanation pinpoints a weakness of neural networks even to this day. The neural network is basically a black box.

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images from a computerized tomography of the brain.
images from a computerized tomography of the brain.

Can Buzzwords About “Neural Networks” Save Materialist Neuroscience?

No. Experiments that support an immaterial consciousness often involve split or massively damaged neural networks

The attribution of abstract thought to the material brain is philosophical and logical nonsense and has been repeatedly discredited by the best neuroscience over the past century.

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Painted face, split in two

AI as the Artful Dodger

Watch what happens when I train a neural network on portraits of 56 famous scientists, starting the process with a right eye
New AI is much more sophisticated but the old and new AI share the property that the final result is nothing more than an interpolation of the training images used to train the AI. Read More ›
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Classified section of a newspaper

Part 2: Navigating the Machine Learning Landscape — Supervised Classifiers

Supervised classifiers can sort items like posts to a discussion group or medical images, using one of many algorithms developed for the purpose
In Part 1 of our series, we looked at machine learning, including supervised learning, unsupervised learning, and reinforcement learning. Now we’re going to dive a little deeper into how supervised learning works. Read More ›