Disclaimer: This podcast is completely AI generated by NoteBookLM 🤖 Summary This episode covers Claude Shannon's seminal 1948 paper, "A Mathematical Theory of Communication", which lays the foundations for modern information theory. The paper explores the problem of reliably transmitting information from a source to a destination over a noisy channel. It introduces the concept of entropy as a measure of information content, and defines channel capacity as the maximum rate at which information can be transmitted over a channel without error. The paper explores the concepts of coding and decoding, proving that it is possible to transmit information at a rate close to the channel capacity with an arbitrarily small probability of error. Shannon’s work revolutionised the fields of communication, computing, and information storage.
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