More cynical definitions in the series introduced here, for Deep Learning and Blockchain.
Ambrose Bierce
A couple definitions from his book:
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Stan Kelly-Bootle
Mr. Kelly-Bootle sometimes provided extended explanations of the words he defined:
Sometimes he even needed illustrations. See the two definitions below, followed by illustrations:
Definitions for 21st Century Computing
A couple more from the student:
Deep Learning
Deep learning is an evolution of shallow neural networks, in which the neural networks are stacked in many layers, making them “deep.”
Decades after the 1959 biological model introduced by Nobel Prize-winning scientists Hubel and Wiesel inspired artificial intelligence pioneers at MIT and elsewhere to invent neural network technology, someone noticed that biological neurons are connected in many layers, unlike the single-layer neural networks that AI researchers had been touting for years as the basis for recreating human intelligence inside a machine. Since everyone knows that prestigious artificial intelligence researchers don’t commit errors, or at least simple ones, “deep learning” was introduced as a brand-new idea that would finally crack the code of making machines as smart as the average fifth grader. Someday. Maybe.
Blockchain
A hot new technology that is sweeping through the world of finance, healthcare and elsewhere, whose greatest practical success to date has been the secret transfer of funds between cooperating parties in a criminal enterprise. A newly discovered database that has recently been freed from the nearly unbreakable bonds of its cryptocurrency prison; however, as a new kind of database, it stubbornly refuses to be classified as a “database,” preferring to be known as a “distributed ledger,” of which it is apparently the only known exemplar. A cynic might point out that that the stubborn refusal to agree to be part of genus database-imus may be due to the wholly inadequate functionality and performance of blockchain on generally accepted measures of database value, but this is almost certainly unfair to such a widely hailed future solution to problems that undoubtedly are pressing, and have resisted solution for many years.
Conclusion
I apologize in advance: there could be more to come.