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  1. Há 21 horas · The concept of information entropy was introduced by Claude Shannon in his 1948 paper "A Mathematical Theory of Communication", and is also referred to as Shannon entropy. Shannon's theory defines a data communication system composed of three elements: a source of data, a communication channel , and a receiver.

  2. Há 1 dia · Claude Shannon; Norman Shapiro; Lloyd Shapley; Diana Shelstad; Nicholas Shepherd-Barron; Amin Shokrollahi; Chi-Wang Shu; Michael Shub; Mikhail Shubin; Laurent C. Siebenmann; Carl Ludwig Siegel; Joseph Sifakis; Israel Michael Sigal; Roman Sikorski; Jack Silver; Alice Silverberg; Rodica Simion; Herbert A. Simon; Leon Simon; Jim Simons ...

  3. Há 2 dias · Claude Shannon's concept of information entropy was among the pioneering information metrics applied to different kind of medical data. One common way is through Shannon entropy, which assesses the randomness in a sequence or time series.

  4. Há 4 dias · Olivier Rioul, "Claude Shannon", Interview, CultureMath Des mathématiques vivantes [Lien Vidéo] Yi Liu, Wei Cheng, Sylvain Guilley, and Olivier Rioul, "Evaluation of side-channel attacks using alpha-information," 18th International Workshop on Cryptographic Architectures Embedded in Logic Devices (CryptArchi 2022) , Porquerolles, France, May 29-June 1st, 2022.

  5. Há 4 dias · Jim Fan, senior research scientist at Nvidia and lead of its AI Agents Initiative, opened the show by revisiting the history of artificial intelligence, starting with Claude Shannon's chess machine Endgame. Various milestones were mentioned along the road to the "agentic era."

  6. Há 3 dias · Information theory, stemming from early communications technology and refined as the interdisciplinary science of cybernetics in the post-War period, deals with communication as a process of sending and receiving messages containing information, information being defined by theorist Claude Shannon as “a measure of one’s freedom of choice when one selects a message” (Weaver, 9).

  7. Há 3 dias · This mathematical framework, initially developed by Claude Shannon, is a cornerstone of data science, providing insights into the transmission, processing, and interpretation of data. It's a...