Tag: machine learning

^{Type
post

Author
David Coppedge

Date
August 24, 2022

Categories
Intelligent Design
Science
Tagged
, artificial intelligence, Being as Communion, blind search, computer science, Darwinists, evolution, intelligent design, machine learning, No Free Lunch, optimization, protein folding, proteins, University of Washington, William A. Dembski}

Optimization: A Key Concept in Intelligent Design

_{David Coppedge
August 24, 2022

Intelligent Design, Science

6}

Portraying neo-Darwinism’s mechanisms as optimization strategies is wishful thinking. Read More ›

^{Type
post

Author
David Klinghoffer

Date
June 8, 2021

Categories
Evolution
Intelligent Design
Tagged
, algorithms, David Wolpert, DiscoveryU, Douglas Axe, evolution, evolutionary biology, evolutionists, genes, insight, intelligence, intelligent design, machine learning, natural selection, No Free Lunch, proteins, search, The Blind Watchmaker, unguided evolution}

Axe: Why “No Free Lunch” for Darwin?

_{David Klinghoffer
June 8, 2021

Evolution, Intelligent Design

3}

That there is a design to life is intuitive, but most of us, if challenged on it, would want to be able to defend our intuition persuasively. Read More ›

^{Type
post

Author
William A. Dembski

Date
April 20, 2021

Categories
Neuroscience & Mind
Philosophy
Tagged
, artificial intelligence, automation, Big Tech, computer science, deep learning, Erik Larson, Eugene Goostman, Google, gorillas, machine learning, self-driving cars, The Myth of Artificial Intelligence, traffic}

Automated Driving and Other Failures of AI

_{William A. Dembski
April 20, 2021

Neuroscience & Mind, Philosophy

3}

It would be interesting to see what fully automated driving would look like in a place like Moldova. Read More ›

^{Type
post

Author
William A. Dembski

Date
April 19, 2021

Categories
Neuroscience & Mind
Philosophy
Tagged
, abduction, artificial general intelligence, artificial intelligence, chatbot, Chinese Room, computers, Elon Musk, Erik Larson, Eugene Goostman, Google, intelligence, John Searle, machine learning, machines, Michael Denton, Microsoft, Nick Bostrom, Ray Kurzweil, Seattle, The Myth of Artificial Intelligence, The Singularity is Near, Thomas Ray}

Artificial Intelligence: Unseating the Inevitability Narrative

_{William A. Dembski
April 19, 2021

Neuroscience & Mind, Philosophy

10}

World-class chess, Go, and Jeopardy-playing programs are impressive, but they prove nothing about whether computers can be made to achieve AGI. Read More ›

^{Type
post

Date
December 21, 2020

Categories
Evolution
Tagged
, Cambrian Explosion, Cambrian News, Carboniferous Period, Charles Darwin, Darwinian evolution, Darwinians, extinction, Graham Budd, Jennifer Hoyal Cuthill, machine learning, On the Origin of Species, Paleobiology Database, paleontologists}

Grandeur in Extinctions?

_{Science & Culture
December 21, 2020

Evolution

8}

New corollary to an old law: Put Darwinian assumptions in, and you will get Darwinian models out. Read More ›

^{Type
post

Date
November 3, 2019

Categories
Metaphysics
Neuroscience & Mind
Tagged
, __edited, Andrew McDiarmid, artificial intelligence, computers, dystopia, George Gilder, human intelligence, ID the Future, Jay Richards, John Searle, machine learning, qualia, Ray Kurzweil, Seattle, Skynet}

Jay Richards at COSM Talks Ray Kurzweil and Strong AI

_{Science & Culture
November 3, 2019

Metaphysics, Neuroscience & Mind

1}

Is the “singularity” coming, as Kurzweil argues there and elsewhere, when machines equal and then quickly surpass human intelligence? Read More ›

^{Type
post

Author
David Klinghoffer

Date
June 19, 2019

Categories
Arts
Neuroscience & Mind
Tagged
, __k-review, algorithms, Apple, artificial intelligence, computers, creativity, Donald Trump, Florida, human beings, insight, inspiration, machine learning, Mind Matters, music, Nike, serendipity}

Strong Campaign Slogans? Winning Tag Lines? Don’t Ask AI

_{David Klinghoffer
June 19, 2019

Arts, Neuroscience & Mind

2}

I watched a bit of President Trump’s campaign launch rally in Orlando last night and found it interesting to see him crowd-testing campaign slogans. Read More ›

Warnings exclamation mark alerts in computer systems to be aware of the dangers and risks of cyberattacks on the Internet. Malicious software to secure online logins on websites

^{Type
post

Author
Brendan Dixon

Date
December 14, 2016

Categories
Computational Sciences
Neuroscience & Mind
Tagged
, __nedited, artificial intelligence, Big Data, defining terms, games, human uniqueness, hype, intelligence, machine learning, mind, Robert J. Marks II}

Robert Marks: What Computers Will Never Do

_{Brendan Dixon
December 14, 2016

Computational Sciences, Neuroscience & Mind

7}

Many Artificial Intelligence researchers wrongly believe that intelligence arises from the application of algorithms. Read More ›

^{Type
post

Author
Brendan Dixon

Date
November 29, 2016

Categories
Political Science
Science Reporting
Technology
Tagged
, __nedited, algorithms, Big Data, data integrity, data science, elections, failed predictions, hype, machine learning, Nation, Neil Postman, Politics, predictions, Silicon Valley}

In Election 2016, Why Big Data Took a Tumble

_{Brendan Dixon
November 29, 2016

Political Science, Science Reporting, Technology

4}

Human judgment and insight, especially trained human judgment and insight, are irreplaceable. Read More ›

^{Type
post

Author
Brendan Dixon

Date
April 21, 2016

Categories
Computational Sciences
Intelligent Design
Tagged
, __tedited, AI, anti-human exceptionalism, computer simulations, deep learning, Elon Musk, Futurism, Go (game), heuristic, human intelligence, Internet, machine learning, Michio Kaku, Neural Networks, self-awareness, sentience, Stephen Hawking, superintelligence}

How Likely Is a "Terminator" Future?

_{Brendan Dixon
April 21, 2016

Computational Sciences, Intelligent Design

6}

Celebrity scientist Michio Kaku is the latest to throw his support behind the "Terminator is coming" mantra. Read More ›