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This carefully crafted ebook: "49 Tales of The Thinking Machine (49 detective stories featuring Professor Augustus S. F. X. Van Dusen, also known as "The Thinking Machine")" is formatted for your eReader with a functional and detailed table of contents. Professor Van Dusen . is a fictional character in a series of detective short stories and two novels by Jacques Futrelle. Some of the short stories were originally published in The Saturday Evening Post and the Boston American. In the stories Professor Van Dusen solves a variety of different mysteries together with his friend Hutchinson Hatch, reporter of a fictional newspaper called "The Daily New Yorker". The professor is known as the "Thinking Machine", solving problems by the remorseless application of logic. His catchphrases include, "Two and two always equal four," "Nothing is impossible", and "All things that start must go somewhere."
Professor Van Dusen is a fictional character in a series of detective short stories and two novels by Jacques Futrelle. Some of the short stories were originally published in The Saturday Evening Post and the Boston American. In the stories Professor Van Dusen solves a variety of different mysteries together with his friend Hutchinson Hatch, reporter of a fictional newspaper called "The Daily New Yorker". The professor is known as the "Thinking Machine", solving problems by the remorseless application of logic. His catchphrases include, "Two and two always equal four," "Nothing is impossible", and "All things that start must go somewhere." Jacques Heath Futrelle (1875–1912) was an American journalist and mystery writer. He is best known for writing short detective stories. Futrelle died in the sinking of the RMS Titanic.
Arrowsmith is a novel by American author Sinclair Lewis, which won him the Pulitzer Prize ...which Lewis declined. Arrowsmith is an early major novel dealing with the culture of science. It was written in the period after the reforms of medical education flowing from the Flexner Report on Medical Education in the United States and Canada: A Report to the Carnegie Foundation for the Advancement of Teaching, 1910, which had called on medical schools in the United States to adhere to mainstream science in their teaching and research. The actual story deals with trials and tribulations of Martin Arrowsmith, a brilliant doctor and scientist who wants to conquer the plague virus from spreading. But the price comes at a very heavy cost. A must read!
The Thinking Machine examined the work that had been done, grunted his satisfaction, and together they went to the skylight, leaving a thin, insulated wire behind them, stringing along to mark their path. They passed down through the roof and into the darkness of the hall of the upper story. Here the light was extinguished. From far below came the faint echo of a man's footsteps as the watchman passed through the silent, deserted building.
The second volume within this series presents more than fifty series characters within pulp fiction, selected to represent four popular story types from the 1907-1939 pulps--scientific detectives, occult and psychic investigators, jungle men, and adventurers in interplanetary romance. Some characters--Tarzan, John Carter of Mars, Craig Kennedy, Anthony (Buck) Rogers--became internationally known. Others are now almost forgotten, except by collectors and specialists.
Reproduction of the original: The Problem of Cell 13 by Jaques Futrelle
A penetrating guide to artificial intelligence: what it is, what it does, and how it will change our lives At a breathtaking pace, artificial intelligence is getting better and faster at making complex decisions. AI can already identify malignant tumors on CT scans, give legal advice, out-bluff the best poker players in the world, and, with ever-increasing skill, drive our cars. In Who’s Afraid of AI?, award-winning author Thomas Ramge expertly explains how machines are learning to learn, and he questions what today’s explosion of AI capability could mean for tomorrow: Is it ethical to allow robots—endlessly patient—to replace human caregivers in providing comfort and companionship to the elderly? Since AI feeds on big data, can we prevent its misuse by corporations or the government? Will AI ever be capable of runaway self-improvement? And if “the singularity” does arrive, with AI’s intelligence exponentially outpacing our own, what will become of us when, in many ways, we’re obsolete?