Tag: programmers

Futuristic Data Encryption and Secure Coding Practices

^{Type
post

Date
October 23, 2025

Categories
Computational Sciences
Intelligent Design
Tagged
, AI, Alan Turing, Antikythera, binary arithmetic, Blaise Agüera y Arcas, central processor, codons, complexity, computation, computer science, computers, DNA, Google, John von Neumann, logic gates, MIT Press Reader, programmers, Universal Machine, What Is Intelligence?}

Life as Computation: An AI Researcher’s (Unwitting) Argument for Intelligent Design

_{Science and Culture
October 23, 2025

Computational Sciences, Intelligent Design

3}

How many computer geniuses did it take in order to produce even a tiny fragment of this complexity? And how great must be the mind that designed all this! Read More ›

^{Type
post

Author
David Coppedge

Date
February 6, 2023

Categories
Intelligent Design
Physical Sciences
Tagged
, aliens, Aristotle, design detection, Gaia, habitable zone, Howard Glicksman, intelligent causes, intelligent design, materialists, natural causes, Nature (journal), Paul Sutter, programmers, radio signals, rocks, SETI, SETI Institute, signals, Steve Laufmann, Your Designed Body}

SETI: Inventing Minds to Find Minds

_{David Coppedge
February 6, 2023

Intelligent Design, Physical Sciences

7}

SETI has a new technique to recognize patterns in gobs of data: invent intelligences to search for extraterrestrial intelligence that might be artificial. Read More ›

^{Type
post

Author
David Coppedge

Date
July 25, 2022

Categories
Biology
Intelligent Design
Neuroscience & Mind
Tagged
, Artificial Selection, Cnidaria, convergence, Current Biology, development, evolution, fallacy, Hydra, intelligence, intelligent design, jellyfish, natural selection, Nature Nanotechnology, Neural Networks, New Scientist, programmers, promissory note, purpose}

In Artificial and Biological Neural Networks, Intelligent Design Is Undeniable

_{David Coppedge
July 25, 2022

Biology, Intelligent Design, Neuroscience & Mind

10}

Someday evolutionists might connect the dots. Right now, even simple nerve nets in jellyfish and hydra are remarkably well designed for what they do. Read More ›

^{Type
post

Author
Amanda Witt

Date
July 13, 2022

Categories
Faith & Science
Neuroscience & Mind
Tagged
, algorithms, artificial intelligence, Baylor University, Bradley Center for Natural & Artificial Intelligence, brain, computers, creativity, divine image, Elon Musk, emotion, heart, hormones, humans, humor, machines, mercy, neurons, Non-Computable You, programmers, qualia, religion, Robert J. Marks II, Siri, software, soul, Stephen Hawking, understanding, wetware}

The Difference Between Humans and Machines

_{Amanda Witt
July 13, 2022

Faith & Science, Neuroscience & Mind

6}

Why do news headlines continually suggest that AI is practically human already, and soon will become fully human? Read More ›

^{Type
post

Author
Robert J. Marks II

Date
June 28, 2022

Categories
Intelligent Design
Neuroscience & Mind
Tagged
, Ada Lovelace, Alan Turing, chatbot, computer science, computers, creativity, English, Eugene Goostman, Go (game), Lord Byron, machines, Non-Computable You, programmers, Selmer Bringsjord, software, swarms, The Imitation Game, Turing test, Ukrainians}

Can Artificial Intelligence Be Creative?

_{Robert J. Marks II
June 28, 2022

Intelligent Design, Neuroscience & Mind

6}

Lady Ada Lovelace (1815–1852), daughter of the poet George Gordon, Lord Byron, was the first computer programmer. Read More ›

^{Type
post

Author
William A. Dembski

Date
April 25, 2021

Categories
Neuroscience & Mind
Tagged
, Brookings Institution, ELIZA program, Erik Larson, Joseph Weizenbaum, philosophers, programmers, The Myth of Artificial Intelligence}

Terrific Video Interview with Erik Larson

_{William A. Dembski
April 25, 2021

Neuroscience & Mind

2}

It was done before his book was released and gives a succinct summary of the book. It’s short. Read More ›

^{Type
post

Author
William A. Dembski

Date
April 22, 2021

Categories
Neuroscience & Mind
Tagged
, artificial intelligence, computer science, deep learning, elephant, Erik Larson, human intelligence, Neural Networks, philosophers, programmers, The Myth of Artificial Intelligence, understanding, Wikipedia}

The Myth of “Deep Learning”

_{William A. Dembski
April 22, 2021

Neuroscience & Mind

2}

This is pathetic, and this is what is supposed to lay waste and supersede human intelligence? Read More ›

^{Type
post

Author
Walter Myers III

Date
January 21, 2021

Categories
Botany
Life Sciences
Tagged
, Apple iPhone, branches, cellulose, computer programs, computers, Energy, Facebook, Fibonacci sequence, flowers, humans, Instagram, leaves, module, needles, nitrogen, oxygen, photosynthesis, pine tree, programmers, skin cells, soil, Southern California, sunlight, thermostats, TikTok, trunks, water}

Plant Diversity and Computer Programming

_{Walter Myers III
January 21, 2021

Botany, Life Sciences

8}

I asked the gardener how come, after all these years, the soil in my geranium pots is at roughly the same level. Read More ›

^{Type
post

Date
July 27, 2020

Categories
Ethics
Neuroscience & Mind
Tagged
, 2084: Artificial Intelligence and the Future of Humanity, artificial intelligence, consciousness, economy, future, ID the Future, john lennox, mathematician, medicine, Oxford University, podcast, programmers, Robert J. Marks II}

John Lennox: What (Not) to Expect of Artificial Intelligence in 2084

_{Science and Culture
July 27, 2020

Ethics, Neuroscience & Mind

1}

A key question as we move toward this future, says Lennox, is what does it mean to be human? Read More ›

^{Type
post

Author
Roman V. Yampolskiy

Date
July 17, 2020

Categories
Environment & Climate
Evolution
Tagged
, Achilles heel, Alan Turing, algorithms, computer science, Darwinian algorithm, early Earth, evolution, evolutionary algorithms, evolutionary computation, fitness functions, Neural Networks, predictions, programmers, software}

Some Possible Reasons for the Limited Success of Evolutionary Algorithms

_{Roman V. Yampolskiy
July 17, 2020

Environment & Climate, Evolution

7}

It is theoretically possible that out of thousands of scientists working on evolutionary computation, all failed to correctly implement the Darwinian algorithm. Read More ›