BigDataFr recommends: Factoring Massive Numbers: Machine Learning Approach – Why and How […] We are interested here in factoring numbers that are a product of two very large primes. Such numbers are used by encryption algorithms such as RSA, and the prime factors represent the keys (public and private) of the encryption code. Here you […]
Author: Big Data
[HBR] BigDataFr recommends: Using Blockchain to Keep Public Data Public
BigDataFr recommends: Using Blockchain to Keep Public Data Public […] In early February, President Trump’s administration made a change to the White House website. The site’s digital updates are often small and insignificant — updating a photo, fixing a broken link — and therefore may go unnoticed. But this one was different, and it could […]
[Forbes France] BigDataFr recommande : ELISE : l’Algorithme Français Qui A Séduit Google
BigDataFr recommande: ELISE : l’Algorithme Français Qui A Séduit Google […] Et si la future star de la musique était découverte grâce à un algorithme ? La question a de quoi surprendre mais mérite d’être posée depuis qu’une jeune pousse française a créé ELISE, un algorithme de Big Data qui a fait ses gammes dans […]
[MIT Technology Review] BigDataFr recommends: A Top Poker-Playing Algorithm Is Cleaning Up in China
BigDataFr recommends: A Top Poker-Playing Algorithm Is Cleaning Up in China […] The world’s most advanced poker bot just trounced all comers at a tournament last weekend in Hainan, an island province in southern China. A previous version of the bot defeated several top professional players in a tournament held at a Pittsburgh casino over […]
[Usine Digitale] BigDataFr recommande : L’aixois High Co aide les marques et magasins à fidéliser leurs clients
BigDataFr recommande : L’aixois High Co aide les marques et magasins à fidéliser leurs clients […] « Nous voulions atteindre 50% de notre marge brute sur les solutions digitales en 2017. Nous réussirons car nous avons frôlé les 47% en 2016 grâce à une progression de 23,6% sur ce seul segment. En France, nous sommes d’ailleurs […]
[Les Echos] BigDataFr recommande : L’intelligence artificielle et les objets connectés portent le boom des assurtech
BigDataFr recommande : L’intelligence artificielle et les objets connectés portent le boom des assurtech […] C’est un signe qui ne trompe pas sur la direction que devrait prendre l’assurance dans les années à venir. Le nombre d’opérations de financement d’assurtech dans les champs des données et du Big Data, de l’intelligence artificielle (IA) ou de […]
[Datasciencecentral] BigDataFr recommends: A Robot Took My Job – Was It a Robot or AI?
BigDataFr recommends: A Robot Took My Job – Was It a Robot or AI? […] There’s been a lot of contradictory opinion in the press recently about future job loss from robotics and AI. They range from Bill Gates’ hand wringing assertion that we should slow this down by taxing robots to Treasury Secretary Steve […]
[Datanami] BigDataFr recommends: The Next Data Revolution: Intelligent Real-Time Decisions
BigDataFr recommends: The Next Data Revolution: Intelligent Real-Time Decisions […] Over the past decade, big data analysis and applications have revolutionized practices in business and science. They enabled new businesses (e.g., Facebook, Netflix), to disrupt existing industries (e.g., Airbnb, Uber), and accelerated scientific discovery (genomics, astronomy, biology). Today, we are seeing glimpses of the next […]
[Sciences et Avenir] BigDataFr recommande : Des avions de ligne moins gourmands en carburant grâce aux big data
BigDataFr recommande: : Des avions de ligne moins gourmands en carburant grâce aux big data […] ÉCOPILOTAGE. S’envoyer en l’air, oui, mais à quel prix ? Le kérosène reste un carburant coûteux et polluant qui pèse lourd dans le budget des compagnies aériennes. Mais l’écoconduite (pratiques au volant qui limitent la consommation en carburant) ne […]
[ArXiv] BigDataFr recommends: Enabling Smart Data: Noise filtering in Big Data classification
BigDataFr recommends: Enabling Smart Data: Noise filtering in Big Data classification […] In any knowledge discovery process the value of extracted knowledge is directly related to the quality of the data used. Big Data problems, generated by massive growth in the scale of data observed in recent years, also follow the same dictate. A common […]