26Jun 2022 by Post

Five Reasons Why AI Programs Are Not “Human”

adrenaline, algorithms, Artificial Intelligence, Blake Lemoine, Boundaries of Humanity Project, computer science, Culture & Ethics, DNA, emotions, engineers, Feelings, free will, Google, human cells, imagination, Isaac Asimov, LaMDA, Language Model for Dialogue Applications, life, Love, machines, materialists, Neuroscience & Mind, René Descartes, self-awareness, sentience, software, soul, Stanford University, Three Laws of Robotics, toaster, Washington Post, William Hurlbut
A Google engineer, Blake Lemoine, mistakenly designated one AI program "sentient." Source
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17Nov 2021 by Post

Harvard U Press Computer Science Author Gives AI a Reality Check

algebra, ambiguity, artificial general intelligence, Artificial Intelligence, audience, computer science, computers, COSM 2021, Discovery Institute, Erik Larson, grocery store, Harvard University Press, humans, Jeopardy, Neuroscience & Mind, News Media, philosophy, reality check, superintelligence, The Myth of Artificial Intelligence
The key missing ingredient in machine intelligence is the ability to appreciate context, do analysis, and make appropriate inferences. Source
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10Sep 2021 by Post

New BIO-Complexity Paper Details Complexity of Function and Assembly of Bacterial Flagellum

bacterial flagellum, BIO-Complexity, chemotaxis, Complexity, computer science, degradation, elegance, engineers, Evolution, evolutionary biologists, filament, fine-tuning, gears, gene expression, hook, Intelligent Design, peer-reviewed literature, proteins, rod, Science (journal), stator, Waldean Schulz
The author, Dean Schulz, an engineer with a PhD in computer science, takes a “bottom up” approach. Source
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07Jul 2021 by Post

New Paper Investigates Engineering Design Constraints on the Bacterial Flagellum

bacterial flagellum, biology, Colorado State University, computer science, cost, costs, dependency network, design triangulation, dimensions, energy needs, Engineering, form, helical propeller, Intelligent Design, Irreducible Complexity, logic controls, materials, motility, Paul Nelson, propulsion, redirection, signals, Steve Laufmann, Systems Biology, timing, Waldean Schulz, Waterfall Model
This technique of examining biology through the eyes of engineering is not necessarily new — systems biologists have been doing it for years. Source
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18Jul 2020 by Post

Neuroevolution Methods Show Significant Success

AI Complete, artificial general intelligence, artificially intelligent agents, computer science, computer simulations, Darwin Machines, deep learning, Evolution, evolutionary algorithms, Evolutionary Bioinformatics, evolutionary computations, genetic algorithms, genetic programming, John Koza, Neural Networks, neuroevolution, Neuroscience & Mind, non-continuous fitness, optimization problems, software, software engineering
The Darwinian algorithm works in theory, but does not work in practice, when applied in the domain of software production. Source
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17Jul 2020 by Post

Some Possible Reasons for the Limited Success of Evolutionary Algorithms

Achilles heel, Alan Turing, algorithms, Artificial Neural Networks, artificial neurons, computer science, Darwinian algorithm, early Earth, environment, Evolution, evolutionary algorithms, evolutionary computation, fitness functions, predictions, programmers, Second Life, software, speech recognition, Test Driven Development
It is theoretically possible that out of thousands of scientists working on evolutionary computation, all failed to correctly implement the Darwinian algorithm. Source
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