Source : La différence entre un ordinateur et moi | L’Avventura
Catégorie : Non classé (Page 161 of 634)
«Neural nets are just thoughtless fuzzy pattern recognizers, and as useful as fuzzy pattern recognizers can be—hence the rush to integrate them into just about every kind of software—they represent, at best, a limited brand of intelligence, one that is easily fooled. A deep neural net that recognizes images can be totally stymied when you change a single pixel, or add visual noise that’s imperceptible to a human. Indeed, almost as often as we’re finding new ways to apply deep learning, we’re finding more of its limits. Self-driving cars can fail to navigate conditions they’ve never seen before. Machines have trouble parsing sentences that demand common-sense understanding of how the world works.Deep learning in some ways mimics what goes on in the human brain, but only in a shallow way—which perhaps explains why its intelligence can sometimes seem so shallow».
Source : Is AI Riding a One-Trick Pony? – MIT Technology Review
«Au-delà du sort d’un acteur historique – si prestigieux soit-il –, l’IA promet la révolution, mais elle est encore en enfance. Pour grandir, il lui faudra réussir non seulement le pari de l’industrialisation mais aussi celui de l’opinion et des politiques.Tous engagés dans la course, les géants du numérique cristallisent les inquiétudes et savent qu’ils seront de plus en plus comptables des conséquences sociétales que laissent entrevoir les prouesses de cette technologie pas comme les autres».
Source : Watson, le savant calcul d’IBM
« White-Collar Offender Tends to have a low self-esteem, a high IQ and charisma. Anxious, tensed and frustrated, competitive, ambitious and dominant. Usually loves to take risks and have a dry sense of humor » – Description of White-Collar Offender…
Source : FACEPTION | Our Technology
«À partir d’aujourd’hui, la page de chaque jeu contiendra un histogramme du rapport entre les évaluations positives et négatives sur toute la durée d’existence du jeu, et en cliquant sur n’importe quelle partie de l’histogramme vous pourrez lire un échantillon des évaluations correspondant à cet intervalle de temps. En tant qu’acheteur potentiel, il vous est maintenant facile de localiser des distorsions temporaires dans les évaluations, de chercher pourquoi ces distorsions se sont produites et de décider vous-même si vous voulez en tenir compte. Cette approche présente l’avantage de ne jamais empêcher quiconque de publier une évaluation, mais demande un peu plus d’effort de la part des acheteurs potentiels».
Source : Communauté Steam :: Annonces du groupe :: Steam Blog
«Credit monitoring company Equifax says a breach exposed the social security numbers and other data of about 143 million Americans. After discovering the breach, but before notifying the public, three Equifax senior executives sold shares in the company worth almost $1.8m. Since the public announcement, the company’s share price has tumbled».
«As patterns of malicious activity evolve, we’re adapting to meet them head-on. On average, our automated systems catch more than 3.2 million suspicious accounts globally per week — more than double the amount we detected this time last year».
Source : Update: Russian Interference in 2016 US Election, Bots, & Misinformation
«Our 200+ global organizations and companies are concerned that the FCC’s net neutrality repeal could negatively impact the world’s shared Internet ecosystem».
Source : The World for Net Neutrality
«Since phishing has become much more common, network administrators have made a habit of telling users never to click on password reset links that go to different domains. Because of the way that Google has implemented AMP, however, Gmail users and people using Google apps for institutional use are now more vulnerable to such attacks. Phishers who use AMP pages can thereby employ official « google.com » web addresses to direct users to malicious sites».
Source : Russian hackers exploited a Google flaw the company has refused to fix – Salon.com
«Meet Todai Robot, an AI project that performed in the top 20 percent of students on the entrance exam for the University of Tokyo — without actually understanding a thing».