One interesting aspect of near-death experiences is that survivors’ accounts speak of sensing things they had not sensed before. What they sense is non inconsistent with science but it is typically unknown to most people.
Tag: Robert J. Marks
Medical scientists take near death experiences more seriously now and here’s why
Today, we know much more about what happens to people when they die—and what we are learning does not support materialism.
Talking to a computer? Marks and Montañez offer tips on how to tell
Robert J. Marks: It’s always easy to determine if you are talking to a computer or a human. You can just ask them to compute the square root of 30 or something because a human would take a while to get the square root of thirty …
Why the “computer” model of the human brain fails
Why it isn’t: Biomedical engineer Yuri Danilov: Again, it is a separate discussion, extremely painful for many but it is something that is happening right now.
Bob Marks: Bias is inevitable in AI; time to admit it
Marks’s point is that such biases are not a matter of villains taking over. It’s a normal feature of the way people think. And people program computers. Doubtless, it finds its way into evolution issues for which people say they ran a simulation on a computer.
Bob Marks on what happens when people try to write creative computer programs
It seems that the programmer would have to make the computer smarter than he is, which means smarter than itself. That’s a challenge.
Robert J. Marks: Reforming peer review faces serious numerical law problems
Laws concerning the way people behave around numbers mean that quantification itself invites certain types of corruption.
Robert J. Marks: What do AI and evolution have in common?
Many biologists claimed to have written code to simulate evolution. But the popularization of the No Free Lunch theorems showed that the computer programmer must infuse guiding information into the evolutionary program to make it work. To explain the diversity of creativity, an evolution process must be directed.
Simpson’s Paradox: Numbers are stranger than we think
One outcome of Simpson’s Paradox is that machines cannot replace statisticians in analysing results. A great deal depends on interpretation, as Marks shows. “Clustering remains largely an art.”
Robert J. Marks: Things Exist That Are Unknowable
The mathematically provable idea that something exists but is unknowable has clear philosophical and theological implications.
Robert J. Marks: The mathematics underlying our world is fascinating and full of surprises
He offers some here: When I teach a course, I too like to sell the sizzle at the beginning of each lecture. For a graduate course in information theory I teach, the students are told that they will learn why their cell phones use recently discovered coding that pushes the boundaries of what is mathematically […]
2018 AI Hype Countdown 5: Robert J. Marks on the claim, AI Can Fight Hate Speech!
AI help, not hype, with Robert J. Marks: AI can carry out its programmers’ biases and that’s all: Some people may be under the illusion that AI detection of hate speech will be disinterested and fair. After all, the assessment is being done by a computer, which has no ideology or political leanings. An added […]
2018 AI Hype Countdown 6: Robert J. Marks on the claim, AI Can Even Find Loopholes in the Code!
AI adopts a solution in an allowed set, maybe not the one you expected:. In the same paper in which researchers purported to find examples of AI creativity, we also read the following statement about problems with performance: “Exacerbating the issue, it is often functionally simpler for evolution to exploit loopholes in the quantitative measure […]
Proven: If you torture a Big Data enough, it will confess to anything
In his fascinating new book The AI Delusion, economics professor Gary Smith reminds us that computers don’t have common sense. He also notes that, as data gets larger and larger, nonsensical coincidences become more probable, not less.
Robert Marks Talks Computers with Michael Medved
Robert J. Marks is one of the authors of Introduction to Evolutionary Informatics, with design theorist William Dembski and Winston Ewert. There’s little danger, he thinks, in computers ruling us but considerable danger that we can use them to magnify the impact of our errors. More. Here’s the podcast. See also: Human consciousness may not […]