CS
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The mid-twentieth century saw a convergence of electrical engineering, mathematics, and the emerging field of computing that would reshape how human beings understood the transmission and storage of information. Claude Elwood Shannon, born on April 30, 1916, in Petoskey, Michigan, became one of the central figures working within that convergence, contributing ideas that cut across disciplinary boundaries in ways few of his contemporaries managed.

Shannon was educated at Gaylord High School, the University of Michigan, and the Massachusetts Institute of Technology. He worked across several fields simultaneously, holding occupations as a mathematician, engineer, cryptographer, inventor, computer scientist, geneticist, and university teacher. This range of roles situated him at the intersection of theoretical inquiry and practical application, a position reflected in the breadth of the work he produced. Among his notable contributions are the Nyquist–Shannon sampling theorem, the concept of information entropy, the Noisy-channel coding theorem, and the formalization of Shannon capacity. These works addressed fundamental questions about how information could be measured, encoded, and reliably transmitted even across imperfect channels — problems that sat at the heart of both wartime cryptography and the expanding field of electronic communication.

Shannon's work in cryptography placed him alongside efforts to secure communication during a period of intense geopolitical tension, while his mathematical contributions gave engineers and scientists a formal language for reasoning about information itself. As a university teacher, he participated in the transmission of these ideas to subsequent practitioners. He worked in English throughout his career and remained a citizen of the United States until his death on February 24, 2001, in Medford.

The significance of his contributions was recognized through several major honors. He received the National Medal of Science, the IEEE Medal of Honor, the Marconi Prize, the Kyoto Prize in Basic Sciences, and the Harold Pender Award — a range of distinctions spanning engineering, mathematics, and the sciences more broadly.

Quotes by Claude Shannon

Information: the negative reciprocal value of probability.
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Information: the negative reciprocal value of probability.
Information is the resolution of uncertainty.
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Information is the resolution of uncertainty.
The enemy knows the system.
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The enemy knows the system.
by staring at light bulbs during games. The light contracted his pupils, making his reactions harder to read.
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by staring at light bulbs during games. The light contracted his pupils, making his reactions harder to read.
We know the past but cannot control it. We control the future but cannot know it.
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We know the past but cannot control it. We control the future but cannot know it.
Information is the #resolution of uncertainty.
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Information is the #resolution of uncertainty.
The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point.
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The fundamental problem of communication is that of reproducing at one point either exactly or approximately a message selected at another point.
Use the word 'cybernetics', Norbert, because nobody knows what it means. This will always put you at an advantage in arguments.
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Use the word 'cybernetics', Norbert, because nobody knows what it means. This will always put you at an advantage in arguments.
I visualize a time when we will be to robots what dogs are to humans. And I am rooting for the machines.
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I visualize a time when we will be to robots what dogs are to humans. And I am rooting for the machines.
I am very seldom interested in applications. I am more interested in the elegance of a problem. Is it a good problem, an interesting problem?
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I am very seldom interested in applications. I am more interested in the elegance of a problem. Is it a good problem, an interesting problem?
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