Avant Memmo, mes notes étaient éparpillées dans des PDF. Maintenant, un espace de travail rassemble tout — je vois exactement ce qu'il me reste à étudier.
How has computer science changed mathematical thinking? In this first ever comprehensive survey of the subject for popular science readers, Arturo Sangalli explains how computers have brought a new practicality to mathematics and mathematical applications. By using fuzzy logic and related concepts, programmers have been able to sidestep the traditional and often cumbersome search for perfect mathematical solutions to embrace instead solutions that are "good enough." If mathematicians want their work to be relevant to the problems of the modern world, Sangalli shows, they must increasingly recognize "the importance of being fuzzy."
As Sangalli explains, fuzzy logic is a technique that allows computers to work with imprecise terms--to answer questions with "maybe" rather than just "yes" and "no." The practical implications of this flexible type of mathematical thinking are remarkable. Japanese programmers have used fuzzy logic to develop the city of Sendai's unusually energy-efficient and smooth-running subway system--one that does not even require drivers. Similar techniques have been used in fields as diverse as medical diagnosis, image understanding by robots, the engineering of automatic transmissions, and the forecasting of currency exchange rates. Sangalli also explores in his characteristically clear and engaging manner the limits of classical computing, reviewing many of the central ideas of Turing and Godel. He shows us how "genetic algorithms" can solve problems by an evolutionary process in which chance plays a fundamental role. He introduces us to "neural networks," which recognize ill-defined patterns without an explicit set of rules--much as a dog can be trained to scent drugs without ever having an exact definition of "drug." Sangalli argues that even though "fuzziness" and related concepts are often compared to human thinking, they can be understood only through mathematics--but the math he uses in the book is straightforward and easy to grasp.
Of equal appeal to specialists and the general reader, The Importance of Being Fuzzy reveals how computer science is changing both the nature of mathematical practice and the shape of the world around us.
Avant Memmo, mes notes étaient éparpillées dans des PDF. Maintenant, un espace de travail rassemble tout — je vois exactement ce qu'il me reste à étudier.
Les résumés de Memmo sont en or avant les examens. Pas besoin de relire 800 pages deux semaines avant — juste l'essentiel.
Le chat IA m'a sauvé la veille d'un examen plus d'une fois. Je pose des questions jusqu'à ce que je comprenne — pas besoin d'attendre la réponse d'un groupe d'étude.
Les quiz ciblent exactement ce que je dois savoir. Memmo suit ce sur quoi je bloque — comme ça, je ne m'entraîne que sur ce qui compte.
Les flashcards avec répétition espacée, c'est magique. Memmo sait quand je suis sur le point d'oublier quelque chose et me le rappelle.
Les podcasts IA, c'est ma fonction préférée. J'écoute en allant à l'école et j'ai un récap sans être devant un ordinateur.
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