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4 décembre 2018 /

“Le géant américain a annoncé, vendredi 30 novembre, que le système de réservation de Starwood avait été piraté. Il s’agit d’un incident d’une ampleur rare dans l’histoire des fuites de données. Le piratage a en effet rendu accessibles pendant quatre ans les données de centaines de millions de clients. Entre 2014 et septembre 2018, les pirates avaient en effet accès à une base de données contenant des données personnelles de « 500 millions de clients qui ont fait une réservation » dans un des hôtels de l’entreprise Starwood. Cette dernière possède notamment les marques Westin, Sheraton, W Hotels ou Le Méridien.”

Source : Un piratage compromet les données de centaines de millions de clients du groupe hôtelier Marriott

4 décembre 2018 /

Le choix des Français ? Vraiment ?

“The Moral Machine Experiment, une étude réalisée par des chercheurs du MIT, a compilé les choix moraux de 2,3 millions de participants issus de 233 pays et territoires. Elle révèle qu’il n’y a pas vraiment de code moral universel, et que la France se distingue souvent de ses voisins.”

Source : Une voiture autonome doit-elle épargner l’enfant ou la personne âgée ? Découvrez le choix des Français – Tech – Numerama

4 décembre 2018 /

“People underestimate how easy a malicious hacker could have used a vulnerability like this to cause major havoc,” TheHackerGiraffe said. “Hackers could have stolen files, installed malware, caused physical damage to the printers and even use the printer as a foothold into the inner network. “The most horrifying part is: I never considered hacking printers before, the whole learning, downloading and scripting process took no more than 30 minutes.”

Source : Someone hacked printers worldwide, urging people to subscribe to PewDiePie – The Verge

1 décembre 2018 /

Algorithms and their unintended consequences for the poor 1

“I think we have a tendency to think about these tools as sort of naturally creating these efficiencies because the speed of the technology is such that it creates the appearance of faster and easier. But in fact, you really have to know a lot about how these systems work in order to build good tools for them and to interrupt the patterns of inequity that we’re already seeing.”

Source : Algorithms and their unintended consequences for the poor – Harvard Law Today

29 novembre 2018 /

Sennheiser discloses monumental blunder that cripples HTTPS on PCs and Macs

“Audio device maker Sennheiser has issued a fix for a monumental software blunder that makes it easy for hackers to carry out man-in-the-middle attacks that cryptographically impersonate any big-name website on the Internet. Anyone who has ever used the company’s HeadSetup for Windows or macOS should take action immediately, even if users later uninstalled the app.”

Source : Sennheiser discloses monumental blunder that cripples HTTPS on PCs and Macs | Ars Technica

29 novembre 2018 /

Fi coverage map of the United States

“Get super fast 4G LTE coverage from coast to coast. And if you’re using a phone designed for Fi, you’ll get even more from the Fi network; your phone will keep you on the best signal by intelligently shifting between three mobile 4G LTE networks and automatically connecting to 2 million+ secure Wi-Fi hotspots.”

Source : Google Fi

28 novembre 2018 /

GELT 2015-2018

“The map  takes the more than 6.6 billion location mentions across the 850 million worldwide news articles monitored by GDELT 2015-2018, snaps them to a 0.001 degree grid and then visualizes the final dataset. Locations are not sized by the number of mentions they receive, meaning a major metropolis mentioned tens of millions of times will still only appear as a single small dot in the image below. Due to artifacts of the rasterization pipeline you will see a few areas of the map below with rectangular artifacting – those are technical issues, rather than meaningful geographic patterns”

Source : Mapping The Geography Of GDELT: 2015-2018 – The GDELT Project

27 novembre 2018 /

“Smart Compose is an example of what AI developers call natural language generation (NLG), in which computers learn to write sentences by studying patterns and relationships between words in literature, emails and web pages. A system shown billions of human sentences becomes adept at completing common phrases but is limited by generalities. Men have long dominated fields such as finance and science, for example, so the technology would conclude from the data that an investor or engineer is “he” or “him.” The issue trips up nearly every major tech company. ”

Source : Fearful of bias, Google blocks gender-based pronouns from new AI tool | Reuters

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